diff --git a/.github/workflows/create_search_index.yml b/.github/workflows/create_search_index.yml index fece33dc41e8f0..5d4f6db3d2f871 100644 --- a/.github/workflows/create_search_index.yml +++ b/.github/workflows/create_search_index.yml @@ -11,7 +11,8 @@ concurrency: jobs: jekyll: - runs-on: ubuntu-latest + runs-on: RAM32GB + timeout-minutes: 600 environment: jekyll steps: - uses: actions/checkout@v2 @@ -49,6 +50,8 @@ jobs: ELASTICSEARCH_INDEX_NAME: ${{ secrets.ELASTICSEARCH_INDEX_NAME }} SEARCH_ORIGIN: ${{ secrets.SEARCH_ORIGIN }} ORIGIN: ${{ secrets.ORIGIN }} + AWS_ACCESS_KEY_ID: ${{ secrets.MODELS_PUBLIC_KEY }} + AWS_SECRET_ACCESS_KEY: ${{ secrets.MODELS_SECRET_KEY }} working-directory: docs run: | bundle exec jekyll build --incremental @@ -62,6 +65,8 @@ jobs: ELASTICSEARCH_INDEX_NAME: ${{ secrets.ELASTICSEARCH_INDEX_NAME }} SEARCH_ORIGIN: ${{ secrets.SEARCH_ORIGIN }} ORIGIN: ${{ secrets.ORIGIN }} + AWS_ACCESS_KEY_ID: ${{ secrets.MODELS_PUBLIC_KEY }} + AWS_SECRET_ACCESS_KEY: ${{ secrets.MODELS_SECRET_KEY }} working-directory: docs run: | rm -f .jekyll-metadata diff --git a/CHANGELOG b/CHANGELOG index ff3a09f6b2e457..0dabc2c27c3651 100644 --- a/CHANGELOG +++ b/CHANGELOG @@ -1,3 +1,19 @@ +======= +6.1.0 +======= +--------------------------- +New Features & Enhancements +--------------------------- + +* [SPARKNLP-1189] Introducing Phi4 +* [SPARKNLP-1259] Introducing Reader2Doc Annotator +* [SPARKNLP-1194] Upgrade jsl-llamacpp to newest version + +--------- +Bug Fixes +--------- +* Fix HuggingFace_OpenVINO_in_Spark_NLP_Qwen2VL.ipynb + ======= 6.0.5 ======= diff --git a/README.md b/README.md index 0d54c72ad40ea0..eed05a418470ff 100644 --- a/README.md +++ b/README.md @@ -63,7 +63,7 @@ $ java -version $ conda create -n sparknlp python=3.7 -y $ conda activate sparknlp # spark-nlp by default is based on pyspark 3.x -$ pip install spark-nlp==6.0.5 pyspark==3.3.1 +$ pip install spark-nlp==6.1.0 pyspark==3.3.1 ``` In Python console or Jupyter `Python3` kernel: @@ -129,11 +129,11 @@ For a quick example of using pipelines and models take a look at our official [d ### Apache Spark Support -Spark NLP *6.0.5* has been built on top of Apache Spark 3.4 while fully supports Apache Spark 3.0.x, 3.1.x, 3.2.x, 3.3.x, 3.4.x, and 3.5.x +Spark NLP *6.1.0* has been built on top of Apache Spark 3.4 while fully supports Apache Spark 3.0.x, 3.1.x, 3.2.x, 3.3.x, 3.4.x, and 3.5.x | Spark NLP | Apache Spark 3.5.x | Apache Spark 3.4.x | Apache Spark 3.3.x | Apache Spark 3.2.x | Apache Spark 3.1.x | Apache Spark 3.0.x | Apache Spark 2.4.x | Apache Spark 2.3.x | |-----------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------| -| 6.0.x | YES | YES | YES | YES | YES | YES | NO | NO | +| 6.x.x and up | YES | YES | YES | YES | YES | YES | NO | NO | | 5.5.x | YES | YES | YES | YES | YES | YES | NO | NO | | 5.4.x | YES | YES | YES | YES | YES | YES | NO | NO | | 5.3.x | YES | YES | YES | YES | YES | YES | NO | NO | @@ -159,7 +159,7 @@ Find out more about 4.x `SparkNLP` versions in our official [documentation](http ### Databricks Support -Spark NLP 6.0.5 has been tested and is compatible with the following runtimes: +Spark NLP 6.1.0 has been tested and is compatible with the following runtimes: | **CPU** | **GPU** | |--------------------|--------------------| @@ -167,16 +167,17 @@ Spark NLP 6.0.5 has been tested and is compatible with the following runtimes: | 14.2 / 14.2 ML | 14.2 ML & GPU | | 14.3 / 14.3 ML | 14.3 ML & GPU | | 15.0 / 15.0 ML | 15.0 ML & GPU | -| 15.1 / 15.0 ML | 15.1 ML & GPU | -| 15.2 / 15.0 ML | 15.2 ML & GPU | -| 15.3 / 15.0 ML | 15.3 ML & GPU | -| 15.4 / 15.0 ML | 15.4 ML & GPU | +| 15.1 / 15.1 ML | 15.1 ML & GPU | +| 15.2 / 15.2 ML | 15.2 ML & GPU | +| 15.3 / 15.3 ML | 15.3 ML & GPU | +| 15.4 / 15.4 ML | 15.4 ML & GPU | +| 16.4 / 16.4 ML | 16.4 ML & GPU | We are compatible with older runtimes. For a full list check databricks support in our official [documentation](https://sparknlp.org/docs/en/install#databricks-support) ### EMR Support -Spark NLP 6.0.5 has been tested and is compatible with the following EMR releases: +Spark NLP 6.1.0 has been tested and is compatible with the following EMR releases: | **EMR Release** | |--------------------| diff --git a/build.sbt b/build.sbt index 2e2853e89eadd1..5ef78effe4a01e 100644 --- a/build.sbt +++ b/build.sbt @@ -6,7 +6,7 @@ name := getPackageName(is_silicon, is_gpu, is_aarch64) organization := "com.johnsnowlabs.nlp" -version := "6.0.5" +version := "6.1.0" (ThisBuild / scalaVersion) := scalaVer diff --git a/conda/meta.yaml b/conda/meta.yaml index 794720a0e243e5..b8d5030bebb8a5 100644 --- a/conda/meta.yaml +++ b/conda/meta.yaml @@ -1,5 +1,5 @@ {% set name = "spark-nlp" %} -{% set version = "6.0.5" %} +{% set version = "6.1.0" %} package: name: {{ name|lower }} @@ -7,7 +7,7 @@ package: source: url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/spark_nlp-{{ version }}.tar.gz - sha256: 0610b5b78db44b934764e1a4bdfe2fd425e6e6bc03104aeefc83f0e5c9e2808e + sha256: 1356e0839868a6c4b5f6befad7e937e43864b57e4a0feb168b06395906136a27 build: noarch: python diff --git a/docs/Gemfile b/docs/Gemfile index 41e93b1c165a29..8a4e98f169603c 100644 --- a/docs/Gemfile +++ b/docs/Gemfile @@ -11,6 +11,9 @@ gem "webrick" gem "jekyll", "~> 3.9" +gem "aws-sdk-s3", "~>1" + + group "jekyll-plugins" do gem "jekyll-incremental", "0.1.0", path: "_plugins/jekyll-incremental" end diff --git a/docs/Gemfile.lock b/docs/Gemfile.lock index 880e734f5d046b..02bbee56ff83ba 100644 --- a/docs/Gemfile.lock +++ b/docs/Gemfile.lock @@ -15,6 +15,25 @@ GEM zeitwerk (~> 2.2, >= 2.2.2) addressable (2.8.1) public_suffix (>= 2.0.2, < 6.0) + aws-eventstream (1.4.0) + aws-partitions (1.1126.0) + aws-sdk-core (3.226.2) + aws-eventstream (~> 1, >= 1.3.0) + aws-partitions (~> 1, >= 1.992.0) + aws-sigv4 (~> 1.9) + base64 + jmespath (~> 1, >= 1.6.1) + logger + aws-sdk-kms (1.106.0) + aws-sdk-core (~> 3, >= 3.225.0) + aws-sigv4 (~> 1.5) + aws-sdk-s3 (1.192.0) + aws-sdk-core (~> 3, >= 3.225.0) + aws-sdk-kms (~> 1) + aws-sigv4 (~> 1.5) + aws-sigv4 (1.12.1) + aws-eventstream (~> 1, >= 1.0.2) + base64 (0.3.0) coffee-script (2.4.1) coffee-script-source execjs @@ -233,6 +252,7 @@ GEM gemoji (~> 3.0) html-pipeline (~> 2.2) jekyll (>= 3.0, < 5.0) + jmespath (1.6.2) kramdown (2.3.2) rexml kramdown-parser-gfm (1.1.0) @@ -241,6 +261,7 @@ GEM listen (3.8.0) rb-fsevent (~> 0.10, >= 0.10.3) rb-inotify (~> 0.9, >= 0.9.10) + logger (1.7.0) mercenary (0.3.6) mini_portile2 (2.8.1) minima (2.5.1) @@ -301,6 +322,7 @@ PLATFORMS x86_64-linux DEPENDENCIES + aws-sdk-s3 (~> 1) elasticsearch (~> 7.10) github-pages (= 227) jekyll (~> 3.9) diff --git a/docs/_plugins/search_index.rb b/docs/_plugins/search_index.rb index 4fc1b38bd71bd8..f8f5139cdabd11 100644 --- a/docs/_plugins/search_index.rb +++ b/docs/_plugins/search_index.rb @@ -5,7 +5,9 @@ require 'date' require 'elasticsearch' require 'nokogiri' +require 'aws-sdk-s3' +BUCKET_NAME="pypi.johnsnowlabs.com" SEARCH_URL = (ENV["SEARCH_ORIGIN"] || 'https://search.modelshub.johnsnowlabs.com') + '/' ELASTICSEARCH_INDEX_NAME = ENV["ELASTICSEARCH_INDEX_NAME"] || 'models' @@ -17,6 +19,18 @@ $remote_editions = Set.new +def upload_file_to_s3_bucket(file_path) + s3 = Aws::S3::Client.new(region: 'eu-west-1') + object_key = "public/models.json" + begin + s3.put_object(bucket: BUCKET_NAME, key: object_key, body: File.open(file_path, 'rb'), acl: 'public-read') + puts "File uploaded successfully to #{BUCKET_NAME}/#{object_key}" + + rescue Aws::S3::Errors::ServiceError => e + puts "Failed to upload file: #{e.message}" + end +end + class Version < Array def initialize name m = /(\d+\.\d+)\z/.match(name) @@ -252,7 +266,7 @@ def initialize(client) def index(id, data) @buffer << { update: { _id: id, data: {doc: data, doc_as_upsert: true}} } - self.execute if @buffer.length >= 100 + self.execute if @buffer.length >= 500 end def execute @@ -578,9 +592,14 @@ def is_latest?(group, model) models_references_json = backup_references_data.merge(models_references_json) end - filename = File.join(site.config['destination'], 'models.json') + filename = File.join(site.config['destination'], 'backup-modelss3.json') + File.write(filename, models_json.values.to_json) File.write(backup_filename, models_json.to_json) + # models.json moved to pypi s3 bucket + upload_file_to_s3_bucket(filename) + + File.delete(filename) benchmarking_filename = File.join(site.config['destination'], 'benchmarking.json') File.write(benchmarking_filename, models_benchmarking_json.to_json) diff --git a/docs/api/com/index.html b/docs/api/com/index.html index 1d8aa3c29be71a..0b49c7705313e2 100644 --- a/docs/api/com/index.html +++ b/docs/api/com/index.html @@ -3,9 +3,9 @@ - Spark NLP 6.0.5 ScalaDoc - com - - + Spark NLP 6.1.0-rc1 ScalaDoc - com + + @@ -28,7 +28,7 @@ +
+
+csv(csvPath)[source]#
+

Reads CSV files and returns a Spark DataFrame.

+
+
Parameters:
+
+
docPathstr

Path to an CSV file or a directory containing CSV files.

+
+
+
+
Returns:
+
+
pyspark.sql.DataFrame

A DataFrame containing parsed CSV content.

+
+
+
+
+

Examples

+
>>> from sparknlp.reader import SparkNLPReader
+>>> csv_df = SparkNLPReader(spark).csv("home/user/csv-directory")
+
+
+

You can use SparkNLP for one line of code

+
>>> import sparknlp
+>>> csv_df = sparknlp.read().csv("home/user/csv-directory")
+>>> csv_df.show(truncate=False)
++-----------------------------------------------------------------------------------------------------------------------------------------+
+|csv                                                                                                                                      |
++-----------------------------------------------------------------------------------------------------------------------------------------+
+|[{NarrativeText, Alice 100 Bob 95, {}}, {Table, <table><tr><td>Alice</td><td>100</td></tr><tr><td>Bob</td><td>95</td></tr></table>, {}}] |
++-----------------------------------------------------------------------------------------------------------------------------------------+
+
+
+
>>> csv_df.printSchema()
+root
+ |-- path: string (nullable = true)
+ |-- csv: array (nullable = true)
+ |    |-- element: struct (containsNull = true)
+ |    |    |-- elementType: string (nullable = true)
+ |    |    |-- content: string (nullable = true)
+ |    |    |-- metadata: map (nullable = true)
+ |    |    |    |-- key: string
+ |    |    |    |-- value: string (valueContainsNull = true)
+
+
+
+
doc(docPath)[source]#
@@ -1127,6 +1177,7 @@
-
-
-nThreadsDraft[source]#
-
-
nThreadsBatch[source]#
-
-
-nThreadsBatchDraft[source]#
-
-
nCtx[source]#
@@ -1501,21 +1491,6 @@

ClassesnDraft[source]#

-
-
-nChunks[source]#
-
- -
-
-nSequences[source]#
-
- -
-
-pSplit[source]#
-
-
nGpuLayers[source]#
@@ -1536,21 +1511,6 @@

ClassesmainGpu[source]#

-
-
-tensorSplit[source]#
-
- -
-
-grpAttnN[source]#
-
- -
-
-grpAttnW[source]#
-
-
ropeFreqBase[source]#
@@ -1616,16 +1576,6 @@

ClassesmodelAlias[source]#

-
-
-lookupCacheStaticFilePath[source]#
-
- -
-
-lookupCacheDynamicFilePath[source]#
-
-
embedding[source]#
@@ -1636,11 +1586,6 @@

ClassesflashAttention[source]#

-
-
-inputPrefixBos[source]#
-
-
useMmap[source]#
@@ -1827,24 +1772,12 @@

Classes -
-setNThreadsDraft(nThreadsDraft: int)[source]#
-

Set the number of threads to use during draft generation

-

-
setNThreadsBatch(nThreadsBatch: int)[source]#

Set the number of threads to use during batch and prompt processing

-
-
-setNThreadsBatchDraft(nThreadsBatchDraft: int)[source]#
-

Set the number of threads to use during batch and prompt processing

-
-
setNCtx(nCtx: int)[source]#
@@ -1869,24 +1802,6 @@

Classes -
-setNChunks(nChunks: int)[source]#
-

Set the maximal number of chunks to process

-

- -
-
-setNSequences(nSequences: int)[source]#
-

Set the number of sequences to decode

-
- -
-
-setPSplit(pSplit: float)[source]#
-

Set the speculative decoding split probability

-
-
setNGpuLayers(nGpuLayers: int)[source]#
@@ -1911,24 +1826,6 @@

Classes -
-setTensorSplit(tensorSplit: List[float])[source]#
-

Set how split tensors should be distributed across GPUs

-

- -
-
-setGrpAttnN(grpAttnN: int)[source]#
-

Set the group-attention factor

-
- -
-
-setGrpAttnW(grpAttnW: int)[source]#
-

Set the group-attention width

-
-
setRopeFreqBase(ropeFreqBase: float)[source]#
@@ -1981,18 +1878,40 @@

Classes setNumaStrategy(numaStrategy: str)[source]#

Set optimization strategies that help on some NUMA systems (if available)

+

Possible values:

+
    +

  • DISABLED: No NUMA optimizations

    • +

  • DISTRIBUTE: spread execution evenly over all

    • +

  • ISOLATE: only spawn threads on CPUs on the node that execution started on

    • +

  • NUMA_CTL: use the CPU map provided by numactl

    • +

  • MIRROR: Mirrors the model across NUMA nodes

    • +

setRopeScalingType(ropeScalingType: str)[source]#
-

Set the RoPE frequency scaling method, defaults to linear unless specified by the model

+

Set the RoPE frequency scaling method, defaults to linear unless specified by the model.

+

Possible values:

+
setPoolingType(poolingType: str)[source]#

Set the pooling type for embeddings, use model default if unspecified

+

Possible values:

+
@@ -2007,18 +1926,6 @@

Classes -
-setLookupCacheStaticFilePath(lookupCacheStaticFilePath: str)[source]#
-

Set path to static lookup cache to use for lookup decoding (not updated by generation)

-

- -
-
-setLookupCacheDynamicFilePath(lookupCacheDynamicFilePath: str)[source]#
-

Set path to dynamic lookup cache to use for lookup decoding (updated by generation)

-
-
setEmbedding(embedding: bool)[source]#
@@ -2031,12 +1938,6 @@

Classes -
-setInputPrefixBos(inputPrefixBos: bool)[source]#
-

Whether to add prefix BOS to user inputs, preceding the –in-prefix string

-

-
setUseMmap(useMmap: bool)[source]#
@@ -2271,12 +2172,6 @@

Classes -
-setLoraAdapters(loraAdapters: Dict[str, float])[source]#
-

Set LoRA adapters with their scaling factors

-

-
getMetadata()[source]#
@@ -2461,23 +2356,15 @@

ClassesHasLlamaCppProperties diff --git a/docs/api/python/reference/autosummary/sparknlp/common/read_as/index.html b/docs/api/python/reference/autosummary/sparknlp/common/read_as/index.html index 1a97c4a1f73c5a..862b98e4eb4a51 100644 --- a/docs/api/python/reference/autosummary/sparknlp/common/read_as/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/common/read_as/index.html @@ -8,7 +8,7 @@ - sparknlp.common.read_as — Spark NLP 6.0.5 documentation + sparknlp.common.read_as — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/common/recursive_annotator_approach/index.html b/docs/api/python/reference/autosummary/sparknlp/common/recursive_annotator_approach/index.html index bf5002789eb382..6921e147abb45e 100644 --- a/docs/api/python/reference/autosummary/sparknlp/common/recursive_annotator_approach/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/common/recursive_annotator_approach/index.html @@ -8,7 +8,7 @@ - sparknlp.common.recursive_annotator_approach — Spark NLP 6.0.5 documentation + sparknlp.common.recursive_annotator_approach — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/common/storage/index.html b/docs/api/python/reference/autosummary/sparknlp/common/storage/index.html index 3738e2b926df84..3c64ddd4795e97 100644 --- a/docs/api/python/reference/autosummary/sparknlp/common/storage/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/common/storage/index.html @@ -8,7 +8,7 @@ - sparknlp.common.storage — Spark NLP 6.0.5 documentation + sparknlp.common.storage — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/common/utils/index.html b/docs/api/python/reference/autosummary/sparknlp/common/utils/index.html index b9f9955b6b7e96..882bf648c3760d 100644 --- a/docs/api/python/reference/autosummary/sparknlp/common/utils/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/common/utils/index.html @@ -8,7 +8,7 @@ - sparknlp.common.utils — Spark NLP 6.0.5 documentation + sparknlp.common.utils — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/functions/index.html b/docs/api/python/reference/autosummary/sparknlp/functions/index.html index 703261e02b4793..19d62b4393dff4 100644 --- a/docs/api/python/reference/autosummary/sparknlp/functions/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/functions/index.html @@ -8,7 +8,7 @@ - sparknlp.functions — Spark NLP 6.0.5 documentation + sparknlp.functions — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/index.html b/docs/api/python/reference/autosummary/sparknlp/index.html index 9f2b432076c20e..74278622a7f0ec 100644 --- a/docs/api/python/reference/autosummary/sparknlp/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/index.html @@ -8,7 +8,7 @@ - sparknlp — Spark NLP 6.0.5 documentation + sparknlp — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + @@ -463,6 +463,7 @@

Subpackagessparknlp.reader diff --git a/docs/api/python/reference/autosummary/sparknlp/internal/annotator_java_ml/index.html b/docs/api/python/reference/autosummary/sparknlp/internal/annotator_java_ml/index.html index 0a0758fa826b73..c60373520a39c7 100644 --- a/docs/api/python/reference/autosummary/sparknlp/internal/annotator_java_ml/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/internal/annotator_java_ml/index.html @@ -8,7 +8,7 @@ - sparknlp.internal.annotator_java_ml — Spark NLP 6.0.5 documentation + sparknlp.internal.annotator_java_ml — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/internal/annotator_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/internal/annotator_transformer/index.html index a1a4d0f117ea6a..60935c02250039 100644 --- a/docs/api/python/reference/autosummary/sparknlp/internal/annotator_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/internal/annotator_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.internal.annotator_transformer — Spark NLP 6.0.5 documentation + sparknlp.internal.annotator_transformer — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/internal/extended_java_wrapper/index.html b/docs/api/python/reference/autosummary/sparknlp/internal/extended_java_wrapper/index.html index 920634e44867d1..502e09fe9ce740 100644 --- a/docs/api/python/reference/autosummary/sparknlp/internal/extended_java_wrapper/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/internal/extended_java_wrapper/index.html @@ -8,7 +8,7 @@ - sparknlp.internal.extended_java_wrapper — Spark NLP 6.0.5 documentation + sparknlp.internal.extended_java_wrapper — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/internal/index.html b/docs/api/python/reference/autosummary/sparknlp/internal/index.html index 73016eda9cea26..0d7f6126b29428 100644 --- a/docs/api/python/reference/autosummary/sparknlp/internal/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/internal/index.html @@ -8,7 +8,7 @@ - sparknlp.internal — Spark NLP 6.0.5 documentation + sparknlp.internal — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/internal/params_getters_setters/index.html b/docs/api/python/reference/autosummary/sparknlp/internal/params_getters_setters/index.html index 7c947e6bae0e39..1b10d5b81e93ba 100644 --- a/docs/api/python/reference/autosummary/sparknlp/internal/params_getters_setters/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/internal/params_getters_setters/index.html @@ -8,7 +8,7 @@ - sparknlp.internal.params_getters_setters — Spark NLP 6.0.5 documentation + sparknlp.internal.params_getters_setters — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/internal/recursive/index.html b/docs/api/python/reference/autosummary/sparknlp/internal/recursive/index.html index 5f7117299c25b3..b45dc91c95b3a8 100644 --- a/docs/api/python/reference/autosummary/sparknlp/internal/recursive/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/internal/recursive/index.html @@ -8,7 +8,7 @@ - sparknlp.internal.recursive — Spark NLP 6.0.5 documentation + sparknlp.internal.recursive — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/logging/comet/index.html b/docs/api/python/reference/autosummary/sparknlp/logging/comet/index.html index d523425c74ea25..1c1d3e3b904c8d 100644 --- a/docs/api/python/reference/autosummary/sparknlp/logging/comet/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/logging/comet/index.html @@ -8,7 +8,7 @@ - sparknlp.logging.comet — Spark NLP 6.0.5 documentation + sparknlp.logging.comet — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/logging/index.html b/docs/api/python/reference/autosummary/sparknlp/logging/index.html index bdfec5f3b9a6ae..8c2991f5892a5f 100644 --- a/docs/api/python/reference/autosummary/sparknlp/logging/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/logging/index.html @@ -8,7 +8,7 @@ - sparknlp.logging — Spark NLP 6.0.5 documentation + sparknlp.logging — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/partition/index.html b/docs/api/python/reference/autosummary/sparknlp/partition/index.html index 0dca3cf5aaeb10..8747e4104364ee 100644 --- a/docs/api/python/reference/autosummary/sparknlp/partition/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/partition/index.html @@ -8,7 +8,7 @@ - sparknlp.partition — Spark NLP 6.0.5 documentation + sparknlp.partition — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/partition/partition/index.html b/docs/api/python/reference/autosummary/sparknlp/partition/partition/index.html index 13504768979823..f92aa8b687d949 100644 --- a/docs/api/python/reference/autosummary/sparknlp/partition/partition/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/partition/partition/index.html @@ -8,7 +8,7 @@ - sparknlp.partition.partition — Spark NLP 6.0.5 documentation + sparknlp.partition.partition — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/partition/partition_properties/index.html b/docs/api/python/reference/autosummary/sparknlp/partition/partition_properties/index.html index b769febb81e3c3..e9cd151b3023c7 100644 --- a/docs/api/python/reference/autosummary/sparknlp/partition/partition_properties/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/partition/partition_properties/index.html @@ -8,7 +8,7 @@ - sparknlp.partition.partition_properties — Spark NLP 6.0.5 documentation + sparknlp.partition.partition_properties — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/partition/partition_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/partition/partition_transformer/index.html index 52596acecd0861..44c6ffb929b471 100644 --- a/docs/api/python/reference/autosummary/sparknlp/partition/partition_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/partition/partition_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.partition.partition_transformer — Spark NLP 6.0.5 documentation + sparknlp.partition.partition_transformer — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/pretrained/index.html b/docs/api/python/reference/autosummary/sparknlp/pretrained/index.html index 704154311bc8bb..22be7a6e514bdd 100644 --- a/docs/api/python/reference/autosummary/sparknlp/pretrained/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/pretrained/index.html @@ -8,7 +8,7 @@ - sparknlp.pretrained — Spark NLP 6.0.5 documentation + sparknlp.pretrained — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/pretrained/pretrained_pipeline/index.html b/docs/api/python/reference/autosummary/sparknlp/pretrained/pretrained_pipeline/index.html index 6f2801758e67d0..166cd69cf86fbe 100644 --- a/docs/api/python/reference/autosummary/sparknlp/pretrained/pretrained_pipeline/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/pretrained/pretrained_pipeline/index.html @@ -8,7 +8,7 @@ - sparknlp.pretrained.pretrained_pipeline — Spark NLP 6.0.5 documentation + sparknlp.pretrained.pretrained_pipeline — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/pretrained/resource_downloader/index.html b/docs/api/python/reference/autosummary/sparknlp/pretrained/resource_downloader/index.html index 5b9d5afd01fd96..88e973032b2481 100644 --- a/docs/api/python/reference/autosummary/sparknlp/pretrained/resource_downloader/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/pretrained/resource_downloader/index.html @@ -8,7 +8,7 @@ - sparknlp.pretrained.resource_downloader — Spark NLP 6.0.5 documentation + sparknlp.pretrained.resource_downloader — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/pretrained/utils/index.html b/docs/api/python/reference/autosummary/sparknlp/pretrained/utils/index.html index bb14e321ea5777..711b7394d9ebab 100644 --- a/docs/api/python/reference/autosummary/sparknlp/pretrained/utils/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/pretrained/utils/index.html @@ -8,7 +8,7 @@ - sparknlp.pretrained.utils — Spark NLP 6.0.5 documentation + sparknlp.pretrained.utils — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/reader/enums/index.html b/docs/api/python/reference/autosummary/sparknlp/reader/enums/index.html index 737782192e7a6e..dfe01ad91d2a07 100644 --- a/docs/api/python/reference/autosummary/sparknlp/reader/enums/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/reader/enums/index.html @@ -8,7 +8,7 @@ - sparknlp.reader.enums — Spark NLP 6.0.5 documentation + sparknlp.reader.enums — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + @@ -316,6 +316,7 @@
diff --git a/docs/api/python/reference/autosummary/sparknlp/reader/index.html b/docs/api/python/reference/autosummary/sparknlp/reader/index.html index 3e8d348eb2cdf5..e3b83889143ec8 100644 --- a/docs/api/python/reference/autosummary/sparknlp/reader/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/reader/index.html @@ -8,7 +8,7 @@ - sparknlp.reader — Spark NLP 6.0.5 documentation + sparknlp.reader — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + @@ -316,6 +316,7 @@
@@ -380,6 +381,7 @@

Submodulessparknlp.reader.enums
  • sparknlp.reader.pdf_to_text
    • +
  • sparknlp.reader.reader2doc
  • sparknlp.reader.sparknlp_reader
    • diff --git a/docs/api/python/reference/autosummary/sparknlp/reader/pdf_to_text/index.html b/docs/api/python/reference/autosummary/sparknlp/reader/pdf_to_text/index.html index 6a25e8f2bb6c87..83824666f01e09 100644 --- a/docs/api/python/reference/autosummary/sparknlp/reader/pdf_to_text/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/reader/pdf_to_text/index.html @@ -8,7 +8,7 @@ - sparknlp.reader.pdf_to_text — Spark NLP 6.0.5 documentation + sparknlp.reader.pdf_to_text — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + @@ -316,6 +316,7 @@
    diff --git a/docs/api/python/reference/autosummary/sparknlp/reader/reader2doc/index.html b/docs/api/python/reference/autosummary/sparknlp/reader/reader2doc/index.html new file mode 100644 index 00000000000000..b1e9542cf217a7 --- /dev/null +++ b/docs/api/python/reference/autosummary/sparknlp/reader/reader2doc/index.html @@ -0,0 +1,683 @@ + + + + + + + + + + + sparknlp.reader.reader2doc — Spark NLP 6.1.0 documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    +

    sparknlp.reader.reader2doc#

    +
    +

    Module Contents#

    +
    +

    Classes#

    + + + + + + +

    Reader2Doc

    The Reader2Doc annotator allows you to use reading files more smoothly within existing

    +
    +
    +class Reader2Doc[source]#
    +

    The Reader2Doc annotator allows you to use reading files more smoothly within existing +Spark NLP workflows, enabling seamless reuse of your pipelines.

    +

    Reader2Doc can be used for extracting structured content from various document types +using Spark NLP readers. It supports reading from many file types and returns parsed +output as a structured Spark DataFrame.

    +

    Supported formats include:

    +
      +

    • Plain text

      • +

    • HTML

      • +

    • Word (.doc/.docx)

      • +

    • Excel (.xls/.xlsx)

      • +

    • PowerPoint (.ppt/.pptx)

      • +

    • Email files (.eml, .msg)

      • +

    • PDFs

      • +
    +

    Examples

    +
    >>> from johnsnowlabs.reader import Reader2Doc
+>>> from johnsnowlabs.nlp.base import DocumentAssembler
+>>> from pyspark.ml import Pipeline
+>>> # Initialize Reader2Doc for PDF files
+>>> reader2doc = Reader2Doc() \
+...     .setContentType("application/pdf") \
+...     .setContentPath(f"{pdf_directory}/")
+>>> # Build the pipeline with the Reader2Doc stage
+>>> pipeline = Pipeline(stages=[reader2doc])
+>>> # Fit the pipeline to an empty DataFrame
+>>> pipeline_model = pipeline.fit(empty_data_set)
+>>> result_df = pipeline_model.transform(empty_data_set)
+>>> # Show the resulting DataFrame
+>>> result_df.show()
++------------------------------------------------------------------------------------------------------------------------------------+
+|document                                                                                                                            |
++------------------------------------------------------------------------------------------------------------------------------------+
+|[{'document', 0, 14, 'This is a Title', {'pageNumber': 1, 'elementType': 'Title', 'fileName': 'pdf-title.pdf'}, []}]               |
+|[{'document', 15, 38, 'This is a narrative text', {'pageNumber': 1, 'elementType': 'NarrativeText', 'fileName': 'pdf-title.pdf'}, []}]|
+|[{'document', 39, 68, 'This is another narrative text', {'pageNumber': 1, 'elementType': 'NarrativeText', 'fileName': 'pdf-title.pdf'}, []}]|
++------------------------------------------------------------------------------------------------------------------------------------+
+
    +
    +
    +
    +name = 'Reader2Doc'[source]#
    +
    + +
    +
    +outputAnnotatorType = 'document'[source]#
    +
    + +
    +
    +contentPath[source]#
    +
    + +
    +
    +outputCol[source]#
    +
    + +
    +
    +contentType[source]#
    +
    + +
    +
    +explodeDocs[source]#
    +
    + +
    +
    +flattenOutput[source]#
    +
    + +
    +
    +titleThreshold[source]#
    +
    + +
    +
    +setParams()[source]#
    +
    + +
    +
    +setContentPath(value)[source]#
    +

    Sets content path.

    +
    +
    Parameters:
    +
    +
    valuestr

    contentPath path to files to read

    +
    +
    +
    +
    +
    + +
    +
    +setContentType(value)[source]#
    +

    Set the content type to load following MIME specification

    +
    +
    Parameters:
    +
    +
    valuestr

    content type to load following MIME specification

    +
    +
    +
    +
    +
    + +
    +
    +setExplodeDocs(value)[source]#
    +

    Sets whether to explode the documents into separate rows.

    +
    +
    Parameters:
    +
    +
    valueboolean
    +
    Whether to explode the documents into separate rows
    +
    +
    +
    +
    + +
    +
    +setOutputCol(value)[source]#
    +

    Sets output column name.

    +
    +
    Parameters:
    +
    +
    valuestr

    Name of the Output Column

    +
    +
    +
    +
    +
    + +
    +
    +setFlattenOutput(value)[source]#
    +

    Sets whether to flatten the output to plain text with minimal metadata.

    +
    +
    Parameters:
    +
    +
    valuebool

    If true, output is flattened to plain text with minimal metadata

    +
    +
    +
    +
    +
    + +
    +
    +setTitleThreshold(value)[source]#
    +

    Sets the minimum font size threshold for title detection in PDF documents.

    +
    +
    Parameters:
    +
    +
    valuefloat

    Minimum font size threshold for title detection in PDF docs

    +
    +
    +
    +
    +
    + +
    + +
    +
    +
    + + +
    + + + + + +
    + +
    +
    +
    + +
    + + + +
    + +
    + +
    + On this page +
    +
    + +
    + +
    + + Show Source + +
    +
    + +
    + + +
    +
    + +
    + +
    +
    +
    + + + + + +
    +
    + +
    + +
    + +

    + + © Copyright 2025 John Snow Labs. +
    + +

    +
    + +
    + +

    + Created using Sphinx 7.1.2. +
    +

    +
    + +
    + + + +
    + +
    +

    + Built with the PyData Sphinx Theme 0.14.4. +

    + +
    + +
    + +
    + + \ No newline at end of file diff --git a/docs/api/python/reference/autosummary/sparknlp/reader/sparknlp_reader/index.html b/docs/api/python/reference/autosummary/sparknlp/reader/sparknlp_reader/index.html index 993110149af62b..6f13e3cfe1b3b4 100644 --- a/docs/api/python/reference/autosummary/sparknlp/reader/sparknlp_reader/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/reader/sparknlp_reader/index.html @@ -8,7 +8,7 @@ - sparknlp.reader.sparknlp_reader — Spark NLP 6.0.5 documentation + sparknlp.reader.sparknlp_reader — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + @@ -316,6 +316,7 @@
    @@ -800,6 +801,54 @@

    Classes +
    +csv(csvPath)[source]#
    +

    Reads CSV files and returns a Spark DataFrame.

    +
    +
    Parameters:
    +
    +
    docPathstr

    Path to an CSV file or a directory containing CSV files.

    +
    +
    +
    +
    Returns:
    +
    +
    pyspark.sql.DataFrame

    A DataFrame containing parsed CSV content.

    +
    +
    +
    +
    +

    Examples

    +
    >>> from sparknlp.reader import SparkNLPReader
+>>> csv_df = SparkNLPReader(spark).csv("home/user/csv-directory")
+
    +
    +

    You can use SparkNLP for one line of code

    +
    >>> import sparknlp
+>>> csv_df = sparknlp.read().csv("home/user/csv-directory")
+>>> csv_df.show(truncate=False)
++-----------------------------------------------------------------------------------------------------------------------------------------+
+|csv                                                                                                                                      |
++-----------------------------------------------------------------------------------------------------------------------------------------+
+|[{NarrativeText, Alice 100 Bob 95, {}}, {Table, <table><tr><td>Alice</td><td>100</td></tr><tr><td>Bob</td><td>95</td></tr></table>, {}}] |
++-----------------------------------------------------------------------------------------------------------------------------------------+
+
    +
    +
    >>> csv_df.printSchema()
+root
+ |-- path: string (nullable = true)
+ |-- csv: array (nullable = true)
+ |    |-- element: struct (containsNull = true)
+ |    |    |-- elementType: string (nullable = true)
+ |    |    |-- content: string (nullable = true)
+ |    |    |-- metadata: map (nullable = true)
+ |    |    |    |-- key: string
+ |    |    |    |-- value: string (valueContainsNull = true)
+
    +
    +

    + @@ -845,6 +894,7 @@

    ClassesSparkNLPReader.txt()
  • SparkNLPReader.xml()
  • SparkNLPReader.md()
    • +
  • SparkNLPReader.csv()
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457, 458, 460, 461, 464, 469, 472, 474, 480, 482, 487, 489, 490, 494, 496, 499, 503, 506, 510], "outputannotatortyp": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 142, 143, 144, 145, 146, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 186, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 205, 206, 208, 209, 210, 213, 223, 225, 231, 234, 257, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 314, 315, 316, 317, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 333, 334, 336, 337, 338, 339, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 374, 377, 379, 380, 381, 382, 384, 385, 386, 387, 390, 391, 392, 393, 394, 395, 397, 398, 403, 405, 406, 408, 409, 410, 411, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 431, 433, 434, 435, 436, 440, 441, 442, 443, 445, 446, 447, 448, 454, 457, 458, 460, 461, 464, 477, 487], "setparam": [5, 10, 81, 177, 178, 194, 195, 196, 197, 198, 199, 200, 203, 205, 206, 209, 210, 212, 261, 332, 429, 446, 447, 448, 449, 450, 451, 454, 457, 458, 461, 463], "regexpars": [5, 11, 262], "setregexpars": [5, 11, 262], "docach": [5, 81, 332], "executorcor": [5, 81, 332], "numpartit": [5, 81, 90, 100, 116, 332, 350, 367], "numwork": [5, 81, 332], "outputopt": [5, 81, 332], "persistformat": [5, 81, 332], "persistpath": [5, 81, 332], "setdocach": [5, 81, 332], "setexecutorcor": [5, 81, 332], "setnumpartit": [5, 81, 90, 100, 116, 332, 350, 367], "setnumwork": [5, 81, 332], "setoutputopt": [5, 81, 332], "setpersistformat": [5, 81, 332], "setpersistpath": [5, 81, 332], "entitynam": [5, 82, 333], "setentitynam": [5, 82, 333], "chunkoverlap": [5, 86, 337], "chunksiz": [5, 86, 337], "explodesplit": [5, 86, 88, 337, 339], "keepsepar": [5, 86, 337], "patternsareregex": [5, 86, 337], "setchunkoverlap": [5, 86, 337], "setchunks": [5, 86, 337], "setexplodesplit": [5, 86, 88, 337, 339], "setkeepsepar": [5, 86, 337], "setpatternsareregex": [5, 86, 337], "setsplitpattern": [5, 86, 186, 190, 337, 442], "settrimwhitespac": [5, 86, 88, 186, 189, 337, 339, 441], "splitpattern": [5, 86, 186, 190, 337, 442], "trimwhitespac": [5, 86, 88, 186, 189, 337, 339, 441], "action": [5, 87, 338], "encod": [5, 28, 59, 60, 65, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 87, 93, 94, 98, 104, 105, 109, 115, 142, 161, 167, 168, 170, 230, 278, 310, 315, 319, 321, 322, 323, 324, 325, 326, 327, 328, 330, 338, 343, 344, 348, 355, 356, 360, 366, 394, 412, 419, 420, 422, 482], "lowercas": [5, 59, 60, 87, 143, 189, 193, 194, 196, 310, 338, 395, 441, 445, 447], "pattern": [5, 11, 60, 61, 86, 87, 122, 131, 133, 143, 181, 182, 186, 189, 190, 192, 193, 206, 233, 262, 310, 311, 337, 338, 372, 382, 385, 395, 433, 434, 441, 442, 445, 458], "polici": [5, 87, 338], "replac": [5, 80, 87, 98, 102, 105, 127, 128, 141, 154, 161, 181, 182, 216, 331, 338, 348, 352, 356, 379, 380, 393, 406, 412, 433, 434, 468, 510], "setact": [5, 87, 338], "setencod": [5, 59, 60, 87, 310, 338], "setlowercas": [5, 59, 60, 87, 143, 194, 196, 209, 310, 338, 395, 447, 461], "setpattern": [5, 87, 186, 189, 192, 193, 338, 441, 445], "setpolici": [5, 87, 338], "setreplac": [5, 87, 338], "numtoken": [5, 88, 339], "setnumtoken": [5, 88, 339], "settokenoverlap": [5, 88, 339], "tokenoverlap": [5, 88, 339], "delimit": [5, 13, 19, 37, 45, 117, 122, 123, 128, 129, 133, 135, 139, 143, 156, 189, 208, 233, 244, 246, 263, 269, 287, 296, 368, 372, 374, 380, 385, 387, 391, 395, 408, 441, 460, 486, 496, 499], "entitytyp": [5, 123, 374], "explodeent": [5, 123, 374], "includeedg": [5, 123, 374], "maxsentences": [5, 123, 374], "mergeent": [5, 123, 374], "mergeentitiesiobformat": [5, 123, 374], "minsentences": [5, 123, 374], "optionalinputannotatortyp": [5, 121, 122, 123, 210, 213, 372, 374, 464], "posmodel": [5, 123, 374], "relationshiptyp": [5, 123, 374], "roottoken": [5, 123, 374], "setdelimit": [5, 123, 129, 133, 135, 374, 385, 387], "setdependencyparsermodel": [5, 123, 374], "setentitytyp": [5, 123, 374], "setexplodeent": [5, 123, 374], "setincludeedg": [5, 123, 374], "setmaxsentences": [5, 64, 65, 69, 70, 71, 72, 73, 74, 75, 76, 77, 123, 315, 319, 321, 322, 323, 324, 325, 326, 327, 328, 374], "setmergeent": [5, 123, 374], "setmergeentitiesiobformat": [5, 123, 374], "setminsentences": [5, 123, 374], "setposmodel": [5, 123, 374], "setrelationshiptyp": [5, 123, 374], "setroottoken": [5, 123, 374], "settypeddependencyparsermodel": [5, 123, 374], "dictionari": [5, 81, 117, 125, 128, 133, 139, 141, 142, 143, 155, 156, 179, 181, 182, 206, 230, 250, 332, 368, 377, 380, 385, 391, 393, 394, 395, 408, 433, 434, 458, 482, 503], "formcol": [5, 128, 245, 380, 497], "lemmacol": [5, 128, 245, 380, 497], "setdictionari": [5, 128, 155, 156, 179, 181, 182, 380, 408, 433, 434], "setformcol": [5, 128, 380], "setlemmacol": [5, 128, 380], "enablecumul": [5, 135, 387], "n": [5, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 86, 88, 92, 119, 125, 135, 138, 139, 140, 145, 153, 154, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 188, 204, 206, 208, 217, 222, 232, 233, 236, 252, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 337, 339, 342, 370, 377, 387, 390, 391, 392, 397, 405, 406, 410, 411, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 440, 456, 458, 460, 469, 474, 485, 489], "setenablecumul": [5, 135, 387], "setn": [5, 97, 135, 347, 387], "cleanuppattern": [5, 87, 143, 338, 395], "maxlength": [5, 143, 152, 153, 154, 186, 189, 190, 395, 405, 406, 441, 442], "minlength": [5, 143, 152, 153, 154, 186, 189, 190, 395, 405, 406, 441, 442], "setcleanuppattern": [5, 143, 395], "setmaxlength": [5, 143, 152, 153, 154, 186, 189, 190, 395, 405, 406, 441, 442], "setminlength": [5, 143, 152, 153, 154, 186, 189, 190, 395, 405, 406, 441, 442], "setslangdictionari": [5, 143, 395], "slangdictionari": [5, 143, 395], "slangmatchcas": [5, 143, 395], "casesensit": [5, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 129, 130, 134, 179, 181, 184, 210, 217, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 279, 280, 281, 282, 283, 284, 285, 286, 287, 289, 290, 291, 292, 293, 294, 296, 297, 298, 299, 300, 302, 303, 304, 305, 306, 307, 308, 309, 341, 343, 344, 345, 346, 348, 349, 351, 353, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 369, 370, 371, 381, 386, 433, 436, 469], "loaddefaultstopword": [5, 124, 125, 184, 377, 436], "setcasesensit": [5, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 97, 99, 105, 110, 118, 129, 130, 134, 139, 179, 181, 184, 198, 209, 210, 217, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 279, 280, 281, 282, 283, 284, 285, 286, 287, 289, 290, 291, 292, 294, 296, 297, 298, 299, 300, 303, 304, 305, 306, 307, 308, 309, 347, 349, 356, 361, 369, 381, 386, 391, 433, 436, 449, 461, 469], "setlocal": [5, 184, 436], "setstopword": [5, 124, 125, 141, 184, 377, 393, 436], "stopword": [5, 124, 125, 141, 184, 377, 393, 436], "getgraphfil": [5, 185, 437], "getgraphfold": [5, 185, 437], "gethiddenunitsnumb": [5, 185, 437], "getinputcol": [5, 177, 178, 185, 194, 198, 199, 210, 213, 429, 437, 449, 450, 464], "getlabelcolumn": [5, 136, 137, 185, 389, 437], "graphfil": [5, 185, 437], "graphfold": [5, 136, 140, 179, 180, 185, 392, 431, 437], "hiddenunitsnumb": [5, 185, 437], "inputcol": [5, 14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 28, 29, 30, 32, 33, 34, 36, 38, 39, 42, 44, 46, 47, 49, 50, 53, 54, 56, 57, 112, 127, 177, 178, 185, 194, 195, 197, 198, 199, 200, 203, 205, 206, 210, 213, 234, 241, 265, 267, 268, 271, 273, 275, 277, 278, 280, 282, 284, 286, 290, 293, 295, 298, 300, 301, 305, 307, 308, 363, 379, 429, 437, 446, 448, 449, 450, 451, 454, 457, 458, 464, 487, 494], "inputcolsvalid": [5, 185, 210, 213, 437, 464], "labelcolumn": [5, 28, 44, 50, 136, 137, 139, 140, 147, 148, 185, 278, 295, 301, 389, 391, 392, 399, 437], "setgraphfil": [5, 185, 437], "setgraphfold": [5, 136, 140, 179, 180, 185, 392, 431, 437], "sethiddenunitsnumb": [5, 185, 437], "setinputcol": [5, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 145, 146, 151, 153, 154, 156, 157, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 180, 181, 182, 183, 184, 185, 187, 188, 189, 190, 191, 193, 194, 195, 196, 197, 198, 199, 200, 203, 205, 206, 208, 209, 210, 213, 230, 234, 239, 241, 257, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 314, 315, 316, 317, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 333, 334, 336, 337, 338, 339, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 374, 377, 379, 380, 381, 382, 384, 385, 386, 387, 390, 391, 392, 393, 394, 395, 397, 398, 403, 405, 406, 408, 409, 410, 411, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 431, 433, 434, 435, 436, 437, 438, 440, 441, 442, 443, 445, 446, 447, 448, 449, 450, 451, 454, 457, 458, 460, 461, 464, 482, 487, 494, 506, 510, 511], "setlabelcolumn": [5, 28, 44, 50, 136, 137, 139, 140, 147, 148, 185, 230, 278, 295, 301, 389, 391, 392, 399, 437, 482, 506, 510], "avail": [5, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 125, 127, 128, 131, 133, 139, 140, 151, 154, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 180, 181, 182, 184, 193, 217, 236, 237, 257, 259, 260, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 314, 315, 316, 317, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 334, 336, 342, 343, 344, 345, 346, 348, 349, 350, 351, 352, 353, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 375, 377, 379, 380, 382, 385, 391, 392, 403, 406, 410, 411, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 431, 433, 434, 436, 445, 469, 477, 489, 490, 506, 513], "configprotobyt": [6, 7, 8, 9, 12, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 62, 63, 64, 65, 66, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 90, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 126, 127, 136, 140, 147, 148, 158, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 179, 180, 257, 259, 260, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 289, 290, 291, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 314, 315, 316, 317, 319, 322, 323, 324, 326, 327, 328, 329, 330, 331, 341, 343, 344, 345, 346, 348, 349, 351, 353, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 369, 370, 371, 379, 392, 399, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 431], "loadsavedmodel": [6, 7, 8, 9, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 90, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 257, 259, 260, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 279, 280, 281, 282, 283, 284, 285, 286, 287, 289, 290, 291, 292, 293, 294, 296, 297, 298, 299, 300, 302, 303, 304, 305, 306, 307, 308, 309, 314, 315, 316, 317, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 341, 342, 343, 344, 345, 346, 348, 349, 351, 352, 353, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 369, 370, 371, 410, 411, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428], "setconfigprotobyt": [6, 7, 8, 9, 12, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 62, 63, 64, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 90, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 109, 110, 111, 115, 118, 119, 120, 126, 127, 136, 140, 147, 148, 158, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 179, 180, 257, 259, 260, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 289, 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259, 310, 329, 341, 356, 357, 420], "supervis": [7, 8, 9, 91, 101, 103, 109, 115, 125, 161, 164, 167, 173, 257, 259, 260, 341, 351, 353, 360, 366, 377, 412, 415, 419, 425], "speech": [7, 8, 9, 11, 96, 150, 151, 193, 246, 250, 257, 259, 260, 262, 346, 402, 403, 445, 499, 516], "represent": [7, 8, 78, 91, 93, 94, 99, 100, 101, 103, 113, 116, 117, 118, 119, 120, 138, 176, 178, 208, 221, 234, 257, 259, 329, 341, 343, 344, 349, 350, 351, 353, 364, 367, 368, 369, 370, 371, 390, 428, 429, 460, 473], "learn": [7, 8, 28, 44, 50, 71, 73, 77, 82, 91, 99, 100, 103, 110, 111, 115, 116, 118, 119, 120, 125, 139, 140, 148, 154, 159, 160, 161, 163, 164, 165, 166, 171, 172, 173, 174, 176, 180, 217, 230, 257, 259, 278, 295, 301, 322, 324, 328, 333, 341, 349, 350, 353, 361, 362, 366, 367, 369, 370, 371, 377, 391, 392, 399, 406, 410, 411, 412, 414, 415, 417, 418, 423, 424, 425, 426, 428, 431, 469, 482, 508], "mask": [7, 78, 98, 107, 118, 119, 120, 161, 189, 257, 329, 348, 358, 369, 370, 371, 412, 441], 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515], "transcrib": [7, 8, 9, 257, 259, 260], "text": [7, 8, 9, 10, 11, 12, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 44, 47, 48, 49, 50, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 82, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 129, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 145, 146, 151, 153, 154, 156, 157, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 178, 180, 181, 182, 183, 184, 186, 187, 188, 189, 190, 191, 193, 196, 197, 198, 199, 200, 203, 204, 205, 206, 208, 209, 210, 216, 217, 218, 221, 222, 230, 232, 233, 234, 240, 241, 242, 244, 245, 246, 247, 250, 251, 257, 259, 260, 261, 262, 265, 266, 267, 268, 271, 272, 273, 275, 276, 277, 278, 280, 281, 282, 284, 285, 286, 288, 290, 291, 293, 294, 295, 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47, 49, 54, 56, 57, 91, 105, 114, 161, 257, 259, 265, 267, 268, 271, 273, 275, 277, 280, 282, 284, 286, 290, 293, 298, 300, 305, 307, 308, 341, 356, 365, 412], "instruct": [7, 8, 73, 76, 90, 104, 163, 166, 169, 173, 257, 259, 324, 327, 355, 414, 418, 421, 425], "xla": [7, 8, 257, 259], "can": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 133, 138, 139, 140, 141, 142, 145, 146, 151, 153, 154, 156, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 180, 181, 182, 184, 191, 193, 197, 198, 205, 206, 207, 208, 213, 217, 221, 230, 236, 237, 242, 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166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 184, 217, 222, 237, 260, 317, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 369, 370, 377, 390, 391, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 436, 469, 474, 490], "topp": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 144, 145, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 210, 217, 260, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 330, 397, 410, 411, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 469], "most": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 86, 88, 96, 99, 105, 107, 125, 140, 145, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 217, 260, 310, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 330, 337, 339, 346, 349, 356, 358, 377, 392, 397, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 469], "add": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 117, 131, 132, 153, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 180, 190, 206, 217, 250, 260, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 330, 368, 382, 384, 405, 410, 411, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 431, 442, 458, 469, 503, 510], "top_p": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 145, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 217, 260, 318, 319, 330, 397], "higher": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 117, 125, 145, 157, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 217, 260, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 330, 368, 377, 397, 409, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 469], "kept": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 217, 260, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 330, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 469], "repetitionpenalti": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 158, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 210, 217, 260, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 330, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 469], "repetit": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 217, 260, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 330, 410, 411, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 469], "penalti": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 217, 260, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 330, 410, 411, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 469], "norepeatngrams": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 158, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 210, 217, 260, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 330, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 469], "ngram": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 97, 135, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 217, 260, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 330, 347, 387, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 469], "occur": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 217, 260, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 330, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 469], "onc": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 206, 217, 260, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 330, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 458, 469], "beamsiz": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 158, 161, 162, 166, 167, 170, 210, 217, 260, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 330, 412, 413, 418, 419, 422, 469], "beam": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 161, 162, 166, 167, 170, 217, 260, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 330, 412, 413, 418, 419, 422, 469], "mr": [9, 260], "middl": [9, 188, 193, 260, 440, 445], "langaug": [9, 236, 260, 489], "xx": [9, 23, 56, 118, 119, 127, 163, 167, 168, 170, 260, 273, 307, 310, 369, 370, 379, 414, 419, 420, 422], "do": [9, 10, 88, 115, 125, 138, 162, 184, 190, 204, 206, 260, 261, 339, 366, 377, 390, 413, 436, 442, 456, 458, 506, 510, 514], "convert": [10, 60, 79, 82, 87, 97, 107, 112, 117, 131, 132, 135, 138, 143, 145, 161, 176, 189, 191, 193, 196, 199, 200, 230, 241, 261, 310, 330, 333, 338, 347, 358, 363, 368, 382, 384, 387, 390, 395, 397, 412, 428, 441, 443, 445, 447, 450, 451, 482, 506, 513], "back": [10, 88, 145, 161, 261, 339, 397, 412], "try": [10, 180, 244, 261, 431, 496], "re": [10, 95, 101, 109, 206, 261, 345, 351, 360, 458, 510], "analysi": [10, 28, 44, 50, 103, 104, 120, 155, 156, 176, 215, 232, 250, 261, 278, 295, 301, 353, 355, 371, 407, 408, 428, 466, 485, 503, 511], "york": [10, 142, 199, 261, 394, 450], "jersei": [10, 199, 261, 450], "aren": [10, 199, 261, 450], "t": [10, 17, 18, 23, 27, 32, 36, 49, 56, 88, 92, 99, 110, 128, 143, 154, 156, 159, 160, 172, 190, 199, 206, 217, 261, 267, 268, 273, 277, 282, 286, 300, 307, 339, 342, 349, 361, 380, 395, 406, 408, 410, 411, 424, 442, 450, 458, 469], "far": [10, 145, 164, 199, 261, 397, 415, 450], "apart": [10, 84, 85, 199, 261, 334, 336, 450], "actual": [10, 135, 199, 209, 261, 387, 450, 461], "id": [10, 44, 61, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 87, 118, 122, 145, 146, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 180, 196, 197, 199, 205, 209, 217, 230, 244, 261, 295, 311, 318, 319, 321, 322, 323, 324, 325, 326, 327, 328, 338, 369, 372, 397, 398, 410, 411, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 431, 447, 448, 450, 457, 461, 469, 482, 496], "defin": [10, 11, 138, 139, 140, 180, 184, 188, 199, 206, 222, 230, 236, 241, 261, 262, 390, 391, 392, 431, 436, 440, 450, 458, 474, 482, 489, 494, 506, 510, 514], "amongst": [10, 199, 261, 450], "thing": [10, 166, 180, 199, 261, 418, 431, 450], "explain_document_dl": [10, 199, 204, 222, 236, 261, 450, 456, 474, 489], "chunktodoc": [10, 261], "chunkconvert": [10, 261], "explainresult": [10, 199, 261, 450], "selectexpr": [10, 11, 28, 51, 63, 66, 67, 78, 79, 80, 84, 85, 86, 87, 88, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 128, 130, 131, 132, 133, 134, 135, 138, 141, 142, 143, 151, 153, 154, 156, 160, 168, 183, 184, 187, 189, 190, 191, 196, 198, 199, 222, 244, 245, 246, 261, 262, 278, 302, 310, 314, 316, 317, 329, 330, 331, 334, 336, 337, 338, 339, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 353, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 377, 380, 381, 382, 384, 385, 386, 387, 390, 393, 394, 395, 403, 405, 406, 408, 411, 420, 435, 436, 438, 441, 442, 443, 447, 449, 450, 474, 496, 497, 499, 509, 510, 515], "explod": [10, 11, 28, 51, 63, 84, 85, 86, 88, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 130, 132, 133, 134, 135, 138, 141, 142, 151, 153, 154, 168, 191, 198, 199, 222, 244, 246, 261, 262, 278, 302, 310, 314, 334, 336, 337, 339, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 353, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 377, 381, 384, 385, 386, 387, 390, 393, 394, 403, 405, 406, 420, 443, 449, 450, 474, 496, 499, 509, 510, 515], "col": [10, 84, 85, 122, 130, 138, 141, 178, 196, 198, 199, 200, 205, 222, 242, 261, 334, 336, 372, 381, 390, 393, 450, 474, 495, 509], "7": [10, 50, 78, 93, 94, 98, 131, 132, 146, 151, 164, 165, 169, 172, 173, 199, 246, 248, 252, 261, 301, 329, 343, 344, 348, 382, 384, 398, 403, 415, 417, 421, 424, 425, 450, 499, 501, 509], "loc": [10, 16, 22, 26, 31, 35, 40, 43, 48, 55, 58, 123, 138, 139, 140, 199, 204, 222, 236, 244, 261, 266, 272, 276, 281, 285, 291, 294, 299, 306, 309, 374, 390, 391, 392, 450, 456, 474, 489, 496], "22": [10, 199, 244, 261, 450, 496, 509], "part": [11, 96, 125, 128, 150, 151, 159, 160, 165, 183, 193, 196, 217, 234, 246, 250, 262, 340, 346, 377, 380, 402, 403, 410, 411, 417, 435, 445, 447, 469, 499, 516], "tag": [11, 28, 44, 50, 87, 96, 137, 138, 139, 140, 141, 150, 151, 193, 222, 230, 232, 234, 242, 244, 246, 247, 250, 262, 278, 295, 301, 338, 346, 389, 390, 391, 392, 393, 402, 403, 445, 474, 482, 485, 495, 496, 499, 500, 503, 516], "order": [11, 86, 104, 120, 122, 125, 131, 159, 160, 161, 165, 172, 181, 182, 204, 209, 217, 222, 262, 337, 340, 355, 371, 372, 377, 382, 410, 411, 412, 417, 424, 433, 434, 456, 461, 469, 474, 510, 511, 514, 516], "meaning": [11, 183, 262, 435], "phrase": [11, 96, 100, 116, 130, 134, 262, 346, 350, 367, 381, 386], "onto": [11, 222, 262, 474, 511], "pars": [11, 83, 84, 85, 96, 122, 128, 131, 132, 180, 181, 182, 204, 206, 208, 232, 233, 236, 242, 244, 246, 262, 334, 335, 336, 346, 372, 380, 382, 384, 431, 433, 434, 456, 458, 460, 485, 489, 495, 496, 499], "regular": [11, 86, 133, 139, 153, 262, 337, 385, 391, 405], "express": [11, 50, 63, 86, 131, 133, 153, 262, 301, 314, 337, 382, 385, 405], "wrap": [11, 262, 311, 429, 462, 463, 471, 477, 481], "angl": [11, 114, 262, 365], "bracket": [11, 262], "easili": [11, 103, 151, 198, 262, 353, 403, 449, 506], "distinguish": [11, 262], "itself": [11, 125, 170, 176, 193, 207, 262, 340, 377, 422, 428, 445, 459, 511], "form": [11, 28, 44, 50, 117, 122, 128, 130, 131, 133, 134, 154, 156, 181, 182, 193, 198, 230, 244, 245, 262, 278, 295, 301, 368, 372, 380, 381, 382, 385, 386, 406, 408, 433, 434, 445, 449, 482, 496, 497, 510], "peter": [11, 105, 128, 143, 151, 154, 181, 183, 244, 262, 356, 380, 395, 403, 406, 433, 435, 496], "piper": [11, 128, 151, 183, 262, 380, 403, 435], "employe": [11, 128, 151, 183, 262, 380, 403, 435], "pick": [11, 128, 151, 183, 262, 380, 403, 435], "peck": [11, 128, 151, 183, 262, 380, 403, 435], "pickl": [11, 128, 151, 183, 262, 380, 403, 435], "pepper": [11, 128, 151, 183, 262, 380, 403, 435], "nnp": [11, 151, 204, 222, 244, 245, 246, 247, 262, 403, 456, 474, 496, 497, 499, 500, 509, 514, 515, 516], "nn": [11, 86, 151, 244, 245, 246, 247, 262, 337, 403, 496, 497, 499, 500, 516], "vbp": [11, 151, 204, 245, 262, 403, 456, 497, 509, 514, 515], "vbg": [11, 151, 262, 403], "IN": [11, 151, 204, 222, 245, 246, 247, 262, 403, 456, 474, 497, 499, 500, 509, 514, 515], "jj": [11, 151, 204, 222, 244, 246, 262, 403, 456, 474, 496, 499, 509, 514, 515, 516], "enclos": [11, 262], "treat": [11, 180, 193, 262, 431, 445], "group": [11, 92, 159, 160, 165, 169, 174, 190, 217, 232, 233, 262, 342, 410, 411, 417, 421, 426, 442, 469, 485], "so": [11, 17, 18, 23, 28, 36, 49, 50, 56, 88, 125, 138, 145, 154, 167, 206, 207, 230, 262, 267, 268, 273, 278, 286, 300, 301, 307, 339, 340, 377, 390, 397, 406, 419, 458, 459, 482, 506], "here": [11, 128, 206, 222, 262, 380, 458, 474, 510], "specif": [11, 51, 71, 84, 85, 87, 93, 94, 99, 114, 115, 123, 125, 140, 161, 164, 166, 167, 170, 175, 178, 185, 204, 207, 230, 234, 262, 302, 322, 334, 336, 338, 343, 344, 349, 365, 366, 374, 377, 392, 412, 415, 418, 419, 422, 427, 437, 456, 459, 482, 514], "noun": [11, 245, 262, 497], "success": [11, 96, 107, 164, 262, 346, 358, 415], "grammar": [11, 159, 160, 210, 217, 262, 410, 411, 469], "parser": [11, 84, 85, 123, 250, 262, 334, 336, 374, 375], "Of": [11, 91, 193, 262, 341, 445], "postag": [11, 262], "11": [11, 82, 118, 119, 131, 132, 135, 151, 241, 248, 262, 333, 369, 370, 382, 384, 387, 403, 494, 501], "21": [11, 131, 132, 141, 151, 248, 262, 382, 384, 393, 403, 501], "35": [11, 95, 151, 162, 248, 262, 345, 403, 413, 501], "39": [11, 141, 146, 151, 246, 248, 262, 393, 398, 403, 499, 501], "52": [11, 141, 151, 246, 262, 393, 403, 499], "58": [11, 78, 151, 262, 329, 403], "choicesdelimit": [12, 13, 19, 37, 45, 263, 269, 287, 296], "setchoicesdelimit": [12, 13, 19, 37, 45, 263, 269, 287, 296], "coalescesent": [12, 14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 29, 30, 32, 33, 34, 36, 38, 39, 42, 46, 47, 49, 53, 54, 56, 57, 126, 127, 264, 265, 267, 268, 270, 271, 273, 274, 275, 277, 279, 280, 282, 283, 284, 286, 289, 290, 293, 297, 298, 300, 304, 305, 307, 308, 379], "getclass": [12, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 47, 48, 49, 54, 55, 56, 57, 58, 64, 67, 78, 80, 136, 142, 265, 266, 267, 268, 271, 272, 273, 275, 276, 277, 280, 281, 282, 284, 285, 286, 290, 291, 293, 294, 298, 299, 300, 305, 306, 307, 308, 309, 317, 329, 331, 394], "setcoalescesent": [12, 15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 126, 127, 265, 267, 268, 271, 273, 275, 277, 280, 282, 284, 286, 290, 293, 298, 300, 305, 307, 308, 379], "maxsentencelength": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 64, 65, 70, 71, 72, 73, 74, 75, 76, 77, 90, 91, 93, 94, 95, 96, 98, 99, 100, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 116, 118, 119, 120, 210, 217, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 279, 280, 281, 282, 283, 284, 285, 286, 287, 289, 290, 291, 292, 293, 294, 296, 297, 298, 299, 300, 302, 303, 304, 305, 306, 307, 308, 309, 314, 315, 321, 322, 323, 324, 325, 326, 327, 328, 341, 343, 344, 345, 346, 348, 349, 350, 351, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 367, 369, 370, 371, 469], "setmaxsentencelength": [12, 18, 48, 49, 56, 90, 100, 116, 210, 217, 268, 299, 300, 307, 350, 367, 469], "dropout": [12, 28, 50, 136, 140, 278, 301, 392], "setdropout": [12, 28, 50, 136, 140, 278, 301, 392, 510], "setshuffleperepoch": [12, 44, 230, 295, 482, 506], "setthreshold": [12, 44, 50, 124, 125, 126, 127, 210, 217, 230, 231, 233, 295, 301, 377, 379, 469, 482, 486, 506], "setverbos": [12, 44, 136, 139, 140, 147, 149, 295, 391, 392, 400], "shuffleperepoch": [12, 44, 295], "threshold": [12, 44, 50, 92, 100, 116, 124, 125, 126, 127, 139, 142, 159, 160, 180, 193, 210, 217, 231, 232, 233, 234, 295, 301, 342, 350, 367, 377, 379, 391, 394, 410, 411, 431, 445, 469, 485, 486], "setthresholdlabel": [12, 50, 126, 127, 301, 379], "thresholdlabel": [12, 50, 126, 127, 301, 379], "classifi": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 66, 67, 78, 125, 198, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 316, 317, 329, 375, 377, 449, 510], "dl": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 127, 140, 142, 181, 182, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 379, 392, 394, 433, 434], "albert": [13, 14, 15, 16, 91, 263, 264, 265, 266, 341], "choic": [13, 19, 37, 45, 110, 111, 133, 166, 169, 263, 269, 287, 296, 361, 362, 385, 418, 421], "linear": [13, 14, 15, 16, 19, 20, 21, 22, 24, 25, 26, 29, 30, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 52, 53, 54, 55, 57, 58, 78, 92, 159, 160, 164, 217, 263, 264, 265, 266, 269, 270, 271, 272, 274, 275, 276, 279, 280, 281, 283, 284, 285, 287, 289, 290, 291, 292, 293, 294, 296, 297, 298, 299, 303, 304, 305, 306, 308, 309, 329, 342, 410, 411, 415, 469], "layer": [13, 14, 15, 16, 19, 20, 21, 22, 24, 25, 26, 29, 30, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 52, 53, 54, 55, 57, 58, 91, 92, 93, 94, 98, 103, 106, 120, 159, 160, 217, 263, 264, 265, 266, 269, 270, 271, 272, 274, 275, 276, 279, 280, 281, 283, 284, 285, 287, 289, 290, 291, 292, 293, 294, 296, 297, 298, 299, 303, 304, 305, 306, 308, 309, 341, 342, 343, 344, 348, 353, 357, 371, 410, 411, 469], "pool": [13, 15, 19, 21, 25, 30, 34, 37, 39, 42, 45, 47, 54, 57, 92, 97, 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176, 234, 245, 319, 341, 343, 344, 348, 350, 353, 361, 362, 366, 367, 377, 428, 487, 497], "research": [69, 91, 93, 94, 98, 100, 116, 162, 168, 170, 171, 172, 176, 310, 319, 341, 343, 344, 348, 350, 367, 413, 420, 422, 423, 424, 428], "technologi": [69, 125, 319, 377], "gemini": [69, 319], "128k": [69, 173, 319, 425], "window": [69, 70, 78, 79, 100, 105, 115, 116, 125, 140, 169, 174, 180, 319, 321, 329, 330, 350, 356, 367, 377, 392, 421, 426, 431], "140": [69, 127, 319, 379], "multimod": [69, 70, 71, 73, 76, 77, 102, 160, 163, 203, 251, 319, 321, 322, 324, 327, 328, 352, 411, 414, 454, 504], "both": [69, 70, 81, 93, 94, 101, 103, 109, 115, 123, 145, 161, 166, 169, 171, 173, 174, 319, 321, 332, 343, 344, 351, 353, 360, 366, 374, 397, 412, 418, 421, 423, 425, 426, 510, 511], "optim": [69, 70, 73, 81, 92, 95, 100, 110, 111, 113, 114, 116, 140, 142, 154, 159, 160, 162, 165, 166, 172, 173, 217, 319, 321, 324, 332, 342, 345, 350, 361, 362, 364, 365, 367, 392, 394, 406, 410, 411, 413, 417, 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70, 71, 72, 73, 74, 75, 76, 77, 105, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 217, 356, 412], "pdf": [69, 70, 71, 72, 73, 74, 75, 76, 77, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 217, 232, 234, 239, 241, 242, 485, 487, 494, 495], "1909": [69, 70, 71, 72, 73, 74, 75, 76, 77, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 217], "05858": [69, 70, 71, 72, 73, 74, 75, 76, 77, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 217], "__": [69, 70, 71, 72, 73, 74, 75, 76, 77, 87, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 198, 199, 217, 338, 412, 449, 450], "ctrl": [69, 70, 71, 72, 73, 74, 75, 76, 77, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 217, 319, 321, 322, 323, 324, 325, 326, 327, 328, 412, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 469], 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327], "janu": [71, 322], "alongsid": [71, 73, 175, 234, 322, 324, 427], "novel": [71, 98, 107, 114, 120, 125, 161, 170, 322, 348, 358, 365, 371, 377, 412, 422], "autoregress": [71, 120, 322, 371], "unifi": [71, 161, 176, 232, 322, 412, 428, 485], "understand": [71, 93, 94, 99, 107, 118, 120, 125, 161, 166, 172, 173, 175, 176, 193, 322, 343, 344, 349, 358, 369, 371, 377, 412, 418, 424, 425, 427, 428, 445, 509], "decoupl": [71, 322], "separ": [71, 86, 88, 99, 110, 133, 135, 153, 154, 181, 190, 193, 199, 222, 233, 234, 244, 322, 337, 339, 349, 361, 385, 387, 405, 406, 433, 442, 445, 450, 474, 496, 508], "pathwai": [71, 322], "allevi": [71, 322], "conflict": [71, 322], "role": [71, 206, 322, 458], "surpass": [71, 78, 98, 109, 163, 169, 322, 329, 348, 360, 414, 421], "previou": [71, 78, 104, 107, 118, 119, 164, 166, 170, 174, 213, 322, 329, 355, 358, 369, 370, 415, 418, 422, 426, 510], "exce": [71, 110, 111, 145, 322, 361, 362, 397], "deepseek": [71, 322], "llm": [71, 73, 114, 165, 166, 172, 174, 175, 322, 324, 365, 417, 418, 424, 426, 427], "3b": [71, 175, 322, 427], "approxim": [71, 178, 322, 429], "500b": [71, 322], "emploi": [71, 88, 120, 322, 339, 371], "siglip": [71, 322], "downsampl": [71, 322], "16": [71, 91, 120, 141, 234, 246, 322, 341, 371, 393, 487, 499, 509], "janus_1_3b_int4": [71, 322], "suit": [71, 73, 76, 77, 95, 113, 322, 324, 327, 328, 345, 364], "image_placehold": [71, 322], "nassist": [71, 74, 77, 322, 325, 328], "unusu": [71, 72, 73, 75, 76, 77, 322, 323, 324, 326, 327, 328], "aspect": [71, 72, 73, 75, 77, 169, 322, 323, 324, 326, 328, 421], "presenc": [71, 72, 73, 75, 77, 159, 160, 217, 322, 323, 324, 326, 328, 410, 411, 469], "ly": [71, 72, 73, 75, 76, 77, 160, 322, 323, 324, 326, 327, 328, 411], "pink": [71, 72, 73, 75, 76, 77, 160, 322, 323, 324, 326, 327, 328, 411], "couch": [71, 72, 73, 75, 76, 77, 79, 322, 323, 324, 326, 327, 328, 330], "parallel": [71, 92, 102, 153, 154, 204, 217, 244, 322, 342, 352, 405, 406, 456, 469, 496, 514], 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122, 134, 160, 171, 172, 173, 174, 250, 325, 330, 345, 350, 367, 368, 372, 386, 411, 423, 424, 425, 426, 503], "phi_3_vision_128k_instruct": [75, 326], "image_1": [75, 326], "nwhat": [75, 326], "phi3v": [75, 326], "qwen2": [76, 174, 327, 426], "integr": [76, 95, 120, 125, 144, 168, 230, 310, 327, 345, 371, 377, 396, 420, 482, 506, 508], "respons": [76, 145, 154, 165, 166, 172, 175, 327, 397, 406, 417, 418, 424, 427], "queri": [76, 95, 101, 109, 113, 165, 169, 174, 178, 327, 345, 351, 360, 364, 417, 421, 426, 429, 507], "qwen2_vl_2b_instruct_int4": [76, 327], "vision_start": [76, 327], "image_pad": [76, 327], "vision_end": [76, 327], "becaus": [76, 145, 156, 252, 311, 327, 397, 408, 429, 463, 481], "smolvlm": [77, 328], "compact": [77, 328], "arbitrari": [77, 161, 169, 328, 412, 421], "produc": [77, 328, 510], "stori": [77, 328], "ground": [77, 79, 328, 330], "Its": [77, 78, 85, 142, 161, 328, 329, 336, 394, 412], "suitabl": [77, 165, 172, 328, 417, 424], "devic": [77, 99, 328, 349], 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425, 458, 481, 490, 496, 510, 516], "purpos": [78, 99, 101, 154, 329, 349, 351, 406], "adapt": [78, 174, 217, 329, 426, 469], "aris": [78, 329], "domain": [78, 104, 114, 125, 164, 242, 329, 355, 365, 377, 415, 495], "variat": [78, 329], "high": [78, 92, 113, 114, 115, 118, 119, 159, 160, 161, 167, 168, 170, 173, 175, 217, 310, 329, 342, 364, 365, 366, 369, 370, 410, 411, 412, 419, 420, 422, 425, 427, 469], "variou": [78, 106, 114, 120, 169, 172, 175, 231, 232, 233, 234, 242, 251, 329, 357, 365, 371, 421, 424, 427, 484, 485, 486, 487, 495, 504], "complex": [78, 103, 114, 115, 125, 169, 174, 181, 182, 329, 353, 365, 366, 377, 421, 426, 433, 434], "respect": [78, 98, 117, 139, 140, 173, 246, 329, 340, 348, 368, 391, 392, 425, 499], "broad": [78, 86, 164, 329, 337, 415], "rang": [78, 93, 94, 98, 99, 101, 104, 118, 119, 159, 160, 161, 165, 166, 172, 217, 329, 343, 344, 348, 349, 351, 355, 369, 370, 410, 411, 412, 417, 418, 424, 469], "1k": [78, 329], "dens": [78, 93, 94, 95, 167, 173, 178, 329, 343, 344, 345, 419, 425, 429], "box": [78, 102, 167, 170, 329, 352, 419, 422], "ap": [78, 329], "51": [78, 197, 205, 246, 329, 448, 457, 499], "53": [78, 130, 134, 329, 381, 386], "miou": [78, 329], "val": [78, 329], "margin": [78, 107, 120, 329, 358, 371], "prove": [78, 329], "benefici": [78, 125, 329, 377], "mlp": [78, 329], "visionencoderdecod": [79, 330], "auto": [79, 161, 185, 330, 412, 437], "beit": [79, 330], "deit": [79, 330], "gpt2": [79, 164, 330, 415], "image_captioning_vit_gpt2": [79, 330], "visionencoderdecodertestspec": [79, 330], "nreturnsequ": [79, 210, 217, 330, 469], "computation": [79, 103, 110, 111, 120, 161, 162, 163, 164, 165, 166, 168, 169, 171, 172, 173, 174, 175, 176, 310, 330, 353, 361, 362, 371, 412, 413, 414, 415, 417, 418, 420, 421, 423, 424, 425, 426, 427, 428], "expens": [79, 103, 110, 111, 120, 156, 161, 162, 163, 164, 165, 166, 168, 169, 171, 172, 173, 174, 175, 176, 181, 310, 330, 353, 361, 362, 371, 408, 412, 413, 414, 415, 417, 418, 420, 421, 423, 424, 425, 426, 427, 428, 433], "especi": [79, 161, 162, 163, 164, 165, 166, 168, 169, 171, 172, 173, 174, 175, 176, 310, 330, 412, 413, 414, 415, 417, 418, 420, 421, 423, 424, 425, 426, 427, 428], "recommend": [79, 92, 103, 120, 145, 156, 157, 159, 160, 161, 162, 163, 164, 165, 166, 168, 169, 171, 172, 173, 174, 175, 176, 252, 310, 330, 342, 353, 371, 397, 408, 409, 410, 411, 412, 413, 414, 415, 417, 418, 420, 421, 423, 424, 425, 426, 427, 428], "imagecapt": [79, 330], "fill": [79, 161, 250, 330, 412, 503], "furnitur": [79, 330], "lai": [79, 170, 330, 422], "anoth": [79, 106, 160, 217, 330, 357, 411, 469, 511], "brown": [79, 160, 232, 330, 411, 485], "bear": [79, 232, 330, 485], "bodi": [79, 160, 330, 411], "water": [79, 160, 330, 411], "flock": [79, 330], "chicken": [79, 160, 330, 411], "lush": [79, 330], "green": [79, 160, 330, 411], "small": [79, 80, 87, 91, 92, 96, 99, 100, 109, 116, 128, 151, 159, 160, 170, 172, 173, 175, 204, 217, 233, 246, 330, 331, 338, 341, 342, 346, 349, 350, 360, 367, 380, 403, 410, 411, 422, 424, 425, 427, 456, 469, 499, 514], "wet": [79, 330], "wooden": [79, 330], "floor": [79, 160, 330, 411], "wear": [79, 160, 330, 411], "blue": [79, 330], "sweater": [79, 160, 330, 411], "man": [79, 92, 160, 164, 165, 330, 342, 411, 415, 417], "cow": [79, 330], "altern": [80, 125, 145, 156, 180, 181, 182, 204, 208, 331, 377, 397, 408, 431, 433, 434, 456, 460, 510, 515], "vitimageclassificationtestspec": [80, 331], "becom": [80, 91, 99, 125, 171, 331, 341, 349, 377, 423], "facto": [80, 125, 331, 377], "remain": [80, 87, 91, 99, 125, 250, 331, 338, 341, 349, 377, 503], "conjunct": [80, 331], "overal": [80, 117, 120, 163, 173, 331, 368, 371, 414, 425], "structur": [80, 142, 190, 209, 232, 233, 234, 331, 394, 461, 485, 509], "relianc": [80, 114, 331, 365], "cnn": [80, 127, 140, 154, 331, 379, 392, 406], "necessari": [80, 99, 331, 340, 349, 506, 513], "directli": [80, 81, 167, 170, 204, 230, 237, 331, 332, 419, 422, 456, 482, 490, 506], "mid": [80, 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"sparknlp.common.properties.HasLlamaCppProperties.yarnBetaSlow"], [469, "sparknlp.common.properties.HasLlamaCppProperties.yarnBetaSlow"]], "yarnextfactor (hasllamacppproperties attribute)": [[217, "sparknlp.common.properties.HasLlamaCppProperties.yarnExtFactor"], [469, "sparknlp.common.properties.HasLlamaCppProperties.yarnExtFactor"]], "yarnorigctx (hasllamacppproperties attribute)": [[217, "sparknlp.common.properties.HasLlamaCppProperties.yarnOrigCtx"], [469, "sparknlp.common.properties.HasLlamaCppProperties.yarnOrigCtx"]], "binary (readas attribute)": [[218, "sparknlp.common.read_as.ReadAs.BINARY"], [470, "sparknlp.common.read_as.ReadAs.BINARY"]], "readas (class in sparknlp.common.read_as)": [[218, "sparknlp.common.read_as.ReadAs"], [470, "sparknlp.common.read_as.ReadAs"]], "spark (readas attribute)": [[218, "sparknlp.common.read_as.ReadAs.SPARK"], [470, "sparknlp.common.read_as.ReadAs.SPARK"]], "text (readas attribute)": [[218, "sparknlp.common.read_as.ReadAs.TEXT"], [470, "sparknlp.common.read_as.ReadAs.TEXT"]], "sparknlp.common.read_as": [[218, "module-sparknlp.common.read_as"], [470, "module-sparknlp.common.read_as"]], "recursiveannotatorapproach (class in sparknlp.common.recursive_annotator_approach)": [[219, "sparknlp.common.recursive_annotator_approach.RecursiveAnnotatorApproach"], [471, "sparknlp.common.recursive_annotator_approach.RecursiveAnnotatorApproach"]], "sparknlp.common.recursive_annotator_approach": [[219, "module-sparknlp.common.recursive_annotator_approach"], [471, "module-sparknlp.common.recursive_annotator_approach"]], "hasstorage (class in sparknlp.common.storage)": [[220, "sparknlp.common.storage.HasStorage"], [472, "sparknlp.common.storage.HasStorage"]], "hasstoragemodel (class in sparknlp.common.storage)": [[220, "sparknlp.common.storage.HasStorageModel"], [472, "sparknlp.common.storage.HasStorageModel"]], "hasstorageoptions (class in sparknlp.common.storage)": [[220, "sparknlp.common.storage.HasStorageOptions"], [472, "sparknlp.common.storage.HasStorageOptions"]], "hasstorageref (class in sparknlp.common.storage)": [[220, "sparknlp.common.storage.HasStorageRef"], [472, "sparknlp.common.storage.HasStorageRef"]], "enableinmemorystorage (hasstorageoptions attribute)": [[220, "sparknlp.common.storage.HasStorageOptions.enableInMemoryStorage"], [472, "sparknlp.common.storage.HasStorageOptions.enableInMemoryStorage"]], "getenableinmemorystorage() (hasstorageoptions method)": [[220, "sparknlp.common.storage.HasStorageOptions.getEnableInMemoryStorage"], [472, "sparknlp.common.storage.HasStorageOptions.getEnableInMemoryStorage"]], "getincludestorage() (hasstorageoptions method)": [[220, "sparknlp.common.storage.HasStorageOptions.getIncludeStorage"], [472, "sparknlp.common.storage.HasStorageOptions.getIncludeStorage"]], "getstoragepath() (hasstorage method)": [[220, "sparknlp.common.storage.HasStorage.getStoragePath"], [472, "sparknlp.common.storage.HasStorage.getStoragePath"]], "getstorageref() (hasstorageref method)": [[220, "sparknlp.common.storage.HasStorageRef.getStorageRef"], [472, "sparknlp.common.storage.HasStorageRef.getStorageRef"]], "includestorage (hasstorageoptions attribute)": [[220, "sparknlp.common.storage.HasStorageOptions.includeStorage"], [472, "sparknlp.common.storage.HasStorageOptions.includeStorage"]], "loadstorage() (hasstoragemodel static method)": [[220, "sparknlp.common.storage.HasStorageModel.loadStorage"], [472, "sparknlp.common.storage.HasStorageModel.loadStorage"]], "loadstorages() (hasstoragemodel static method)": [[220, "sparknlp.common.storage.HasStorageModel.loadStorages"], [472, "sparknlp.common.storage.HasStorageModel.loadStorages"]], "savestorage() (hasstoragemodel method)": [[220, "sparknlp.common.storage.HasStorageModel.saveStorage"], [472, "sparknlp.common.storage.HasStorageModel.saveStorage"]], "setenableinmemorystorage() (hasstorageoptions method)": [[220, "sparknlp.common.storage.HasStorageOptions.setEnableInMemoryStorage"], [472, "sparknlp.common.storage.HasStorageOptions.setEnableInMemoryStorage"]], "setincludestorage() (hasstorageoptions method)": [[220, "sparknlp.common.storage.HasStorageOptions.setIncludeStorage"], [472, "sparknlp.common.storage.HasStorageOptions.setIncludeStorage"]], "setstoragepath() (hasstorage method)": [[220, "sparknlp.common.storage.HasStorage.setStoragePath"], [472, "sparknlp.common.storage.HasStorage.setStoragePath"]], "setstorageref() (hasstorageref method)": [[220, "sparknlp.common.storage.HasStorageRef.setStorageRef"], [472, "sparknlp.common.storage.HasStorageRef.setStorageRef"]], "sparknlp.common.storage": [[220, "module-sparknlp.common.storage"], [472, "module-sparknlp.common.storage"]], "storagepath (hasstorage attribute)": [[220, "sparknlp.common.storage.HasStorage.storagePath"], [472, "sparknlp.common.storage.HasStorage.storagePath"]], "storageref (hasstorageref attribute)": [[220, "sparknlp.common.storage.HasStorageRef.storageRef"], [472, "sparknlp.common.storage.HasStorageRef.storageRef"]], "externalresource() (in module sparknlp.common.utils)": [[221, "sparknlp.common.utils.ExternalResource"], [473, "sparknlp.common.utils.ExternalResource"]], "regexrule() (in module sparknlp.common.utils)": [[221, "sparknlp.common.utils.RegexRule"], [473, "sparknlp.common.utils.RegexRule"]], "sparknlp.common.utils": [[221, "module-sparknlp.common.utils"], [473, "module-sparknlp.common.utils"]], "explode_annotations_col() (in module sparknlp.functions)": [[222, "sparknlp.functions.explode_annotations_col"], [474, "sparknlp.functions.explode_annotations_col"]], "filter_by_annotations_col() (in module sparknlp.functions)": [[222, "sparknlp.functions.filter_by_annotations_col"], [474, "sparknlp.functions.filter_by_annotations_col"]], "map_annotations() (in module sparknlp.functions)": [[222, "sparknlp.functions.map_annotations"], [474, "sparknlp.functions.map_annotations"]], "map_annotations_array() (in module sparknlp.functions)": [[222, 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"sparknlp.internal.annotator_transformer.AnnotatorTransformer.outputAnnotatorType"]], "sparknlp.internal.annotator_transformer": [[225, "module-sparknlp.internal.annotator_transformer"], [477, "module-sparknlp.internal.annotator_transformer"]], "extendedjavawrapper (class in sparknlp.internal.extended_java_wrapper)": [[226, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper"], [478, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper"]], "apply() (extendedjavawrapper method)": [[226, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.apply"], [478, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.apply"]], "getdataframe() (extendedjavawrapper method)": [[226, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.getDataFrame"], [478, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.getDataFrame"]], "new_java_array() (extendedjavawrapper method)": [[226, 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"sparknlp.internal.params_getters_setters.ParamsGettersSetters.setParamValue"], [480, "sparknlp.internal.params_getters_setters.ParamsGettersSetters.setParamValue"]], "sparknlp.internal.params_getters_setters": [[227, "module-sparknlp.internal.params_getters_setters"], [480, "module-sparknlp.internal.params_getters_setters"]], "recursiveestimator (class in sparknlp.internal.recursive)": [[228, "sparknlp.internal.recursive.RecursiveEstimator"], [481, "sparknlp.internal.recursive.RecursiveEstimator"]], "recursivetransformer (class in sparknlp.internal.recursive)": [[228, "sparknlp.internal.recursive.RecursiveTransformer"], [481, "sparknlp.internal.recursive.RecursiveTransformer"]], "fit() (recursiveestimator method)": [[228, "sparknlp.internal.recursive.RecursiveEstimator.fit"], [481, "sparknlp.internal.recursive.RecursiveEstimator.fit"]], "sparknlp.internal.recursive": [[228, "module-sparknlp.internal.recursive"], [481, "module-sparknlp.internal.recursive"]], "transform_recursive() (recursivetransformer method)": [[228, "sparknlp.internal.recursive.RecursiveTransformer.transform_recursive"], [481, "sparknlp.internal.recursive.RecursiveTransformer.transform_recursive"]], "sparknlp.logging": [[229, "module-sparknlp.logging"], [483, "module-sparknlp.logging"]], "cometlogger (class in sparknlp.logging.comet)": [[230, "sparknlp.logging.comet.CometLogger"], [482, "sparknlp.logging.comet.CometLogger"]], "end() (cometlogger method)": [[230, "sparknlp.logging.comet.CometLogger.end"], [482, "sparknlp.logging.comet.CometLogger.end"]], "log_asset() (cometlogger method)": [[230, "sparknlp.logging.comet.CometLogger.log_asset"], [482, "sparknlp.logging.comet.CometLogger.log_asset"]], "log_asset_data() (cometlogger method)": [[230, "sparknlp.logging.comet.CometLogger.log_asset_data"], [482, "sparknlp.logging.comet.CometLogger.log_asset_data"]], "log_completed_run() (cometlogger method)": [[230, "sparknlp.logging.comet.CometLogger.log_completed_run"], [482, 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"sparknlp.partition.partition_properties.HasChunkerProperties"], [486, "sparknlp.partition.partition_properties.HasChunkerProperties"]], "hasemailreaderproperties (class in sparknlp.partition.partition_properties)": [[233, "sparknlp.partition.partition_properties.HasEmailReaderProperties"], [486, "sparknlp.partition.partition_properties.HasEmailReaderProperties"]], "hasexcelreaderproperties (class in sparknlp.partition.partition_properties)": [[233, "sparknlp.partition.partition_properties.HasExcelReaderProperties"], [486, "sparknlp.partition.partition_properties.HasExcelReaderProperties"]], "hashtmlreaderproperties (class in sparknlp.partition.partition_properties)": [[233, "sparknlp.partition.partition_properties.HasHTMLReaderProperties"], [486, "sparknlp.partition.partition_properties.HasHTMLReaderProperties"]], "haspowerpointproperties (class in sparknlp.partition.partition_properties)": [[233, "sparknlp.partition.partition_properties.HasPowerPointProperties"], [486, "sparknlp.partition.partition_properties.HasPowerPointProperties"]], "hastextreaderproperties (class in sparknlp.partition.partition_properties)": [[233, "sparknlp.partition.partition_properties.HasTextReaderProperties"], [486, "sparknlp.partition.partition_properties.HasTextReaderProperties"]], "addattachmentcontent (hasemailreaderproperties attribute)": [[233, "sparknlp.partition.partition_properties.HasEmailReaderProperties.addAttachmentContent"], [486, "sparknlp.partition.partition_properties.HasEmailReaderProperties.addAttachmentContent"]], "appendcells (hasexcelreaderproperties attribute)": [[233, "sparknlp.partition.partition_properties.HasExcelReaderProperties.appendCells"], [486, "sparknlp.partition.partition_properties.HasExcelReaderProperties.appendCells"]], "cellseparator (hasexcelreaderproperties attribute)": [[233, "sparknlp.partition.partition_properties.HasExcelReaderProperties.cellSeparator"], [486, "sparknlp.partition.partition_properties.HasExcelReaderProperties.cellSeparator"]], "chunkingstrategy (haschunkerproperties attribute)": [[233, "sparknlp.partition.partition_properties.HasChunkerProperties.chunkingStrategy"], [486, "sparknlp.partition.partition_properties.HasChunkerProperties.chunkingStrategy"]], "combinetextundernchars (haschunkerproperties attribute)": [[233, "sparknlp.partition.partition_properties.HasChunkerProperties.combineTextUnderNChars"], [486, "sparknlp.partition.partition_properties.HasChunkerProperties.combineTextUnderNChars"]], "getaddattachmentcontent() (hasemailreaderproperties method)": [[233, "sparknlp.partition.partition_properties.HasEmailReaderProperties.getAddAttachmentContent"], [486, "sparknlp.partition.partition_properties.HasEmailReaderProperties.getAddAttachmentContent"]], "getappendcells() (hasexcelreaderproperties method)": [[233, "sparknlp.partition.partition_properties.HasExcelReaderProperties.getAppendCells"], [486, "sparknlp.partition.partition_properties.HasExcelReaderProperties.getAppendCells"]], "getcellseparator() (hasexcelreaderproperties method)": [[233, "sparknlp.partition.partition_properties.HasExcelReaderProperties.getCellSeparator"], [486, "sparknlp.partition.partition_properties.HasExcelReaderProperties.getCellSeparator"]], "getgroupbrokenparagraphs() (hastextreaderproperties method)": [[233, "sparknlp.partition.partition_properties.HasTextReaderProperties.getGroupBrokenParagraphs"], [486, "sparknlp.partition.partition_properties.HasTextReaderProperties.getGroupBrokenParagraphs"]], "getincludeslidenotes() (haspowerpointproperties method)": [[233, "sparknlp.partition.partition_properties.HasPowerPointProperties.getIncludeSlideNotes"], [486, "sparknlp.partition.partition_properties.HasPowerPointProperties.getIncludeSlideNotes"]], "getmaxlinecount() (hastextreaderproperties method)": [[233, "sparknlp.partition.partition_properties.HasTextReaderProperties.getMaxLineCount"], [486, "sparknlp.partition.partition_properties.HasTextReaderProperties.getMaxLineCount"]], "getparagraphsplit() (hastextreaderproperties method)": [[233, "sparknlp.partition.partition_properties.HasTextReaderProperties.getParagraphSplit"], [486, "sparknlp.partition.partition_properties.HasTextReaderProperties.getParagraphSplit"]], "getshortlinewordthreshold() (hastextreaderproperties method)": [[233, "sparknlp.partition.partition_properties.HasTextReaderProperties.getShortLineWordThreshold"], [486, "sparknlp.partition.partition_properties.HasTextReaderProperties.getShortLineWordThreshold"]], "getthreshold() (hastextreaderproperties method)": [[233, "sparknlp.partition.partition_properties.HasTextReaderProperties.getThreshold"], [486, "sparknlp.partition.partition_properties.HasTextReaderProperties.getThreshold"]], "gettimeout() (hashtmlreaderproperties method)": [[233, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.getTimeout"], [486, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.getTimeout"]], "gettitlelengthsize() (hastextreaderproperties method)": [[233, "sparknlp.partition.partition_properties.HasTextReaderProperties.getTitleLengthSize"], [486, "sparknlp.partition.partition_properties.HasTextReaderProperties.getTitleLengthSize"]], "groupbrokenparagraphs (hastextreaderproperties attribute)": [[233, "sparknlp.partition.partition_properties.HasTextReaderProperties.groupBrokenParagraphs"], [486, "sparknlp.partition.partition_properties.HasTextReaderProperties.groupBrokenParagraphs"]], "includeslidenotes (haspowerpointproperties attribute)": [[233, "sparknlp.partition.partition_properties.HasPowerPointProperties.includeSlideNotes"], [486, "sparknlp.partition.partition_properties.HasPowerPointProperties.includeSlideNotes"]], "maxcharacters (haschunkerproperties attribute)": [[233, "sparknlp.partition.partition_properties.HasChunkerProperties.maxCharacters"], [486, "sparknlp.partition.partition_properties.HasChunkerProperties.maxCharacters"]], "maxlinecount (hastextreaderproperties attribute)": [[233, "sparknlp.partition.partition_properties.HasTextReaderProperties.maxLineCount"], [486, "sparknlp.partition.partition_properties.HasTextReaderProperties.maxLineCount"]], "newafternchars (haschunkerproperties attribute)": [[233, "sparknlp.partition.partition_properties.HasChunkerProperties.newAfterNChars"], [486, "sparknlp.partition.partition_properties.HasChunkerProperties.newAfterNChars"]], "overlap (haschunkerproperties attribute)": [[233, "sparknlp.partition.partition_properties.HasChunkerProperties.overlap"], [486, "sparknlp.partition.partition_properties.HasChunkerProperties.overlap"]], "overlapall (haschunkerproperties attribute)": [[233, "sparknlp.partition.partition_properties.HasChunkerProperties.overlapAll"], [486, "sparknlp.partition.partition_properties.HasChunkerProperties.overlapAll"]], "paragraphsplit (hastextreaderproperties attribute)": [[233, "sparknlp.partition.partition_properties.HasTextReaderProperties.paragraphSplit"], [486, "sparknlp.partition.partition_properties.HasTextReaderProperties.paragraphSplit"]], "setaddattachmentcontent() (hasemailreaderproperties method)": [[233, "sparknlp.partition.partition_properties.HasEmailReaderProperties.setAddAttachmentContent"], [486, "sparknlp.partition.partition_properties.HasEmailReaderProperties.setAddAttachmentContent"]], "setappendcells() (hasexcelreaderproperties method)": [[233, "sparknlp.partition.partition_properties.HasExcelReaderProperties.setAppendCells"], [486, "sparknlp.partition.partition_properties.HasExcelReaderProperties.setAppendCells"]], "setcellseparator() (hasexcelreaderproperties method)": [[233, "sparknlp.partition.partition_properties.HasExcelReaderProperties.setCellSeparator"], [486, "sparknlp.partition.partition_properties.HasExcelReaderProperties.setCellSeparator"]], "setchunkingstrategy() (haschunkerproperties method)": [[233, "sparknlp.partition.partition_properties.HasChunkerProperties.setChunkingStrategy"], [486, "sparknlp.partition.partition_properties.HasChunkerProperties.setChunkingStrategy"]], "setcombinetextundernchars() (haschunkerproperties method)": [[233, "sparknlp.partition.partition_properties.HasChunkerProperties.setCombineTextUnderNChars"], [486, "sparknlp.partition.partition_properties.HasChunkerProperties.setCombineTextUnderNChars"]], "setgroupbrokenparagraphs() (hastextreaderproperties method)": [[233, "sparknlp.partition.partition_properties.HasTextReaderProperties.setGroupBrokenParagraphs"], [486, "sparknlp.partition.partition_properties.HasTextReaderProperties.setGroupBrokenParagraphs"]], "setheaders() (hashtmlreaderproperties method)": [[233, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.setHeaders"], [486, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.setHeaders"]], "setincludeslidenotes() (haspowerpointproperties method)": [[233, 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50, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 142, 143, 144, 145, 146, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 187, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 204, 206, 207, 209, 210, 211, 214, 224, 226, 232, 235, 240, 243, 259, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 310, 311, 312, 313, 316, 317, 318, 319, 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334], "persistpath": [5, 81, 334], "setdocach": [5, 81, 334], "setexecutorcor": [5, 81, 334], "setnumpartit": [5, 81, 90, 100, 116, 334, 352, 369], "setnumwork": [5, 81, 334], "setoutputopt": [5, 81, 334], "setpersistformat": [5, 81, 334], "setpersistpath": [5, 81, 334], "entitynam": [5, 82, 335], "setentitynam": [5, 82, 335], "chunkoverlap": [5, 86, 339], "chunksiz": [5, 86, 339], "explodesplit": [5, 86, 88, 339, 341], "keepsepar": [5, 86, 339], "patternsareregex": [5, 86, 339], "setchunkoverlap": [5, 86, 339], "setchunks": [5, 86, 339], "setexplodesplit": [5, 86, 88, 339, 341], "setkeepsepar": [5, 86, 339], "setpatternsareregex": [5, 86, 339], "setsplitpattern": [5, 86, 187, 191, 339, 445], "settrimwhitespac": [5, 86, 88, 187, 190, 339, 341, 444], "splitpattern": [5, 86, 187, 191, 339, 445], "trimwhitespac": [5, 86, 88, 187, 190, 339, 341, 444], "action": [5, 87, 340], "encod": [5, 28, 59, 60, 65, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 87, 93, 94, 98, 104, 105, 109, 115, 142, 161, 167, 168, 170, 231, 280, 312, 317, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 340, 345, 346, 350, 357, 358, 362, 368, 396, 414, 421, 422, 424, 485], "lowercas": [5, 59, 60, 87, 143, 190, 194, 195, 197, 312, 340, 397, 444, 448, 450], "pattern": [5, 11, 60, 61, 86, 87, 122, 131, 133, 143, 182, 183, 187, 190, 191, 193, 194, 207, 234, 264, 312, 313, 339, 340, 374, 384, 387, 397, 436, 437, 444, 445, 448, 461], "polici": [5, 87, 340], "replac": [5, 80, 87, 98, 102, 105, 127, 128, 141, 154, 161, 182, 183, 217, 333, 340, 350, 354, 358, 381, 382, 395, 408, 414, 436, 437, 471, 514], "setact": [5, 87, 340], "setencod": [5, 59, 60, 87, 312, 340], "setlowercas": [5, 59, 60, 87, 143, 195, 197, 210, 312, 340, 397, 450, 464], "setpattern": [5, 87, 187, 190, 193, 194, 340, 444, 448], "setpolici": [5, 87, 340], "setreplac": [5, 87, 340], "numtoken": [5, 88, 341], "setnumtoken": [5, 88, 341], "settokenoverlap": [5, 88, 341], "tokenoverlap": [5, 88, 341], "delimit": [5, 13, 19, 37, 45, 117, 122, 123, 128, 129, 133, 135, 139, 143, 156, 190, 209, 234, 246, 248, 265, 271, 289, 298, 370, 374, 376, 382, 387, 389, 393, 397, 410, 444, 463, 489, 500, 503], "entitytyp": [5, 123, 376], "explodeent": [5, 123, 376], "includeedg": [5, 123, 376], "maxsentences": [5, 123, 376], "mergeent": [5, 123, 376], "mergeentitiesiobformat": [5, 123, 376], "minsentences": [5, 123, 376], "optionalinputannotatortyp": [5, 121, 122, 123, 211, 214, 374, 376, 467], "posmodel": [5, 123, 376], "relationshiptyp": [5, 123, 376], "roottoken": [5, 123, 376], "setdelimit": [5, 123, 129, 133, 135, 376, 387, 389], "setdependencyparsermodel": [5, 123, 376], "setentitytyp": [5, 123, 376], "setexplodeent": [5, 123, 376], "setincludeedg": [5, 123, 376], "setmaxsentences": [5, 64, 65, 69, 70, 71, 72, 73, 74, 75, 76, 77, 123, 317, 321, 323, 324, 325, 326, 327, 328, 329, 330, 376], "setmergeent": [5, 123, 376], "setmergeentitiesiobformat": [5, 123, 376], "setminsentences": [5, 123, 376], "setposmodel": [5, 123, 376], "setrelationshiptyp": [5, 123, 376], "setroottoken": [5, 123, 376], "settypeddependencyparsermodel": [5, 123, 376], "dictionari": [5, 81, 117, 125, 128, 133, 139, 141, 142, 143, 155, 156, 180, 182, 183, 207, 231, 252, 334, 370, 379, 382, 387, 393, 395, 396, 397, 410, 436, 437, 461, 485, 507], "formcol": [5, 128, 247, 382, 501], "lemmacol": [5, 128, 247, 382, 501], "setdictionari": [5, 128, 155, 156, 180, 182, 183, 382, 410, 436, 437], "setformcol": [5, 128, 382], "setlemmacol": [5, 128, 382], "enablecumul": [5, 135, 389], "n": [5, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 86, 88, 92, 119, 125, 135, 138, 139, 140, 145, 153, 154, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 189, 205, 207, 209, 218, 223, 233, 234, 237, 254, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 339, 341, 344, 372, 379, 389, 392, 393, 394, 399, 407, 408, 412, 413, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 443, 459, 461, 463, 472, 477, 488, 492], "setenablecumul": [5, 135, 389], "setn": [5, 97, 135, 349, 389], "cleanuppattern": [5, 87, 143, 340, 397], "maxlength": [5, 143, 152, 153, 154, 187, 190, 191, 397, 407, 408, 444, 445], "minlength": [5, 143, 152, 153, 154, 187, 190, 191, 397, 407, 408, 444, 445], "setcleanuppattern": [5, 143, 397], "setmaxlength": [5, 143, 152, 153, 154, 187, 190, 191, 397, 407, 408, 444, 445], "setminlength": [5, 143, 152, 153, 154, 187, 190, 191, 397, 407, 408, 444, 445], "setslangdictionari": [5, 143, 397], "slangdictionari": [5, 143, 397], "slangmatchcas": [5, 143, 397], "casesensit": [5, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 129, 130, 134, 180, 182, 185, 211, 218, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 309, 310, 311, 343, 345, 346, 347, 348, 350, 351, 353, 355, 357, 358, 359, 360, 361, 362, 363, 364, 366, 367, 371, 372, 373, 383, 388, 436, 439, 472], "loaddefaultstopword": [5, 124, 125, 185, 379, 439], "setcasesensit": [5, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 97, 99, 105, 110, 118, 129, 130, 134, 139, 180, 182, 185, 199, 210, 211, 218, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 294, 296, 298, 299, 300, 301, 302, 305, 306, 307, 308, 309, 310, 311, 349, 351, 358, 363, 371, 383, 388, 393, 436, 439, 452, 464, 472], "setlocal": [5, 185, 439], "setstopword": [5, 124, 125, 141, 185, 379, 395, 439], "stopword": [5, 124, 125, 141, 185, 379, 395, 439], "getgraphfil": [5, 186, 440], "getgraphfold": [5, 186, 440], "gethiddenunitsnumb": [5, 186, 440], "getinputcol": [5, 178, 179, 186, 195, 199, 200, 211, 214, 432, 440, 452, 453, 467], "getlabelcolumn": [5, 136, 137, 186, 391, 440], "graphfil": [5, 186, 440], "graphfold": [5, 136, 140, 180, 181, 186, 394, 434, 440], "hiddenunitsnumb": [5, 186, 440], "inputcol": [5, 14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 28, 29, 30, 32, 33, 34, 36, 38, 39, 42, 44, 46, 47, 49, 50, 53, 54, 56, 57, 112, 127, 178, 179, 186, 195, 196, 198, 199, 200, 201, 204, 206, 207, 211, 214, 235, 242, 267, 269, 270, 273, 275, 277, 279, 280, 282, 284, 286, 288, 292, 295, 297, 300, 302, 303, 307, 309, 310, 365, 381, 432, 440, 449, 451, 452, 453, 454, 457, 460, 461, 467, 490, 497], "inputcolsvalid": [5, 186, 211, 214, 440, 467], "labelcolumn": [5, 28, 44, 50, 136, 137, 139, 140, 147, 148, 186, 280, 297, 303, 391, 393, 394, 401, 440], "setgraphfil": [5, 186, 440], "setgraphfold": [5, 136, 140, 180, 181, 186, 394, 434, 440], "sethiddenunitsnumb": [5, 186, 440], "setinputcol": [5, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 145, 146, 151, 153, 154, 156, 157, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 182, 183, 184, 185, 186, 188, 189, 190, 191, 192, 194, 195, 196, 197, 198, 199, 200, 201, 204, 206, 207, 209, 210, 211, 214, 231, 235, 240, 242, 259, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 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35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 125, 127, 128, 131, 133, 139, 140, 151, 154, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175, 176, 177, 181, 182, 183, 185, 194, 218, 237, 238, 259, 261, 262, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 316, 317, 318, 319, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 336, 338, 344, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 363, 364, 366, 367, 368, 369, 370, 371, 372, 377, 379, 381, 382, 384, 387, 393, 394, 405, 408, 412, 413, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 429, 430, 431, 434, 436, 437, 439, 448, 472, 480, 492, 493, 510, 517], "configprotobyt": [6, 7, 8, 9, 12, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 62, 63, 64, 65, 66, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 90, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 126, 127, 136, 140, 147, 148, 158, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 180, 181, 259, 261, 262, 266, 267, 268, 269, 270, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 291, 292, 293, 296, 297, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 316, 317, 318, 319, 321, 324, 325, 326, 328, 329, 330, 331, 332, 333, 343, 345, 346, 347, 348, 350, 351, 353, 355, 357, 358, 359, 360, 361, 362, 363, 364, 366, 367, 368, 371, 372, 373, 381, 394, 401, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 434], "loadsavedmodel": [6, 7, 8, 9, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 90, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 259, 261, 262, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 309, 310, 311, 316, 317, 318, 319, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 343, 344, 345, 346, 347, 348, 350, 351, 353, 354, 355, 357, 358, 359, 360, 361, 362, 363, 364, 366, 367, 368, 371, 372, 373, 412, 413, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431], "setconfigprotobyt": [6, 7, 8, 9, 12, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 62, 63, 64, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 90, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 109, 110, 111, 115, 118, 119, 120, 126, 127, 136, 140, 147, 148, 158, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 180, 181, 259, 261, 262, 266, 267, 268, 269, 270, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 291, 292, 293, 296, 297, 299, 300, 301, 302, 303, 306, 307, 308, 309, 310, 311, 316, 319, 321, 324, 325, 326, 328, 329, 330, 331, 332, 333, 343, 345, 346, 347, 348, 350, 351, 353, 355, 357, 358, 359, 360, 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176, 177, 181, 218, 262, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 352, 369, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 434, 472], "keep": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 86, 92, 125, 143, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 218, 262, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 333, 339, 344, 379, 397, 412, 413, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 472], "filter": [9, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 118, 119, 125, 138, 139, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 185, 218, 223, 238, 262, 319, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 371, 372, 379, 392, 393, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 439, 472, 477, 493], "topp": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 144, 145, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 211, 218, 262, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 399, 412, 413, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 472], "most": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 86, 88, 96, 99, 105, 107, 125, 140, 145, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 218, 262, 312, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 339, 341, 348, 351, 358, 360, 379, 394, 399, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 472], "add": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 117, 131, 132, 153, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 181, 191, 207, 218, 252, 262, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 370, 384, 386, 407, 412, 413, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 434, 445, 461, 472, 507, 514], "top_p": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 145, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 218, 262, 320, 321, 332, 399], "higher": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 117, 125, 145, 157, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 218, 262, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 370, 379, 399, 411, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 472], "kept": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 218, 262, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 472], "repetitionpenalti": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 158, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 211, 218, 262, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 472], "repetit": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 218, 262, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 412, 413, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 472], "penalti": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 218, 262, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 412, 413, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 472], "norepeatngrams": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 158, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 211, 218, 262, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 472], "ngram": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 97, 135, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 218, 262, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 349, 389, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 472], "occur": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 218, 262, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 472], "onc": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 207, 218, 262, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 461, 472], "beamsiz": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 158, 161, 162, 166, 167, 170, 174, 211, 218, 262, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 414, 415, 420, 421, 424, 428, 472], "beam": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 161, 162, 166, 167, 170, 174, 218, 262, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 332, 414, 415, 420, 421, 424, 428, 472], "mr": [9, 262], "middl": [9, 189, 194, 262, 443, 448], "langaug": [9, 237, 262, 492], "xx": [9, 23, 56, 118, 119, 127, 163, 167, 168, 170, 262, 275, 309, 312, 371, 372, 381, 416, 421, 422, 424], "do": [9, 10, 88, 115, 125, 138, 162, 185, 191, 205, 207, 262, 263, 341, 368, 379, 392, 415, 439, 445, 459, 461, 510, 514, 518], "convert": [10, 60, 79, 82, 87, 97, 107, 112, 117, 131, 132, 135, 138, 143, 145, 161, 177, 190, 192, 194, 197, 200, 201, 231, 242, 263, 312, 332, 335, 340, 349, 360, 365, 370, 384, 386, 389, 392, 397, 399, 414, 431, 444, 446, 448, 450, 453, 454, 485, 510, 517], "back": [10, 88, 145, 161, 263, 341, 399, 414], "try": [10, 181, 246, 263, 434, 500], "re": [10, 95, 101, 109, 207, 263, 347, 353, 362, 461, 514], "analysi": [10, 28, 44, 50, 103, 104, 120, 155, 156, 177, 216, 233, 252, 263, 280, 297, 303, 355, 357, 373, 409, 410, 431, 469, 488, 507, 515], "york": [10, 142, 200, 263, 396, 453], "jersei": [10, 200, 263, 453], "aren": [10, 200, 263, 453], "t": [10, 17, 18, 23, 27, 32, 36, 49, 56, 88, 92, 99, 110, 128, 143, 154, 156, 159, 160, 172, 191, 200, 207, 218, 263, 269, 270, 275, 279, 284, 288, 302, 309, 341, 344, 351, 363, 382, 397, 408, 410, 412, 413, 426, 445, 453, 461, 472], "far": [10, 145, 164, 200, 263, 399, 417, 453], "apart": [10, 84, 85, 200, 263, 336, 338, 453], "actual": [10, 135, 200, 210, 263, 389, 453, 464], "id": [10, 44, 61, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 87, 118, 122, 145, 146, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 181, 197, 198, 200, 206, 210, 218, 231, 246, 263, 297, 313, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 340, 371, 374, 399, 400, 412, 413, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 434, 450, 451, 453, 460, 464, 472, 485, 500], "defin": [10, 11, 138, 139, 140, 181, 185, 189, 200, 207, 223, 231, 237, 242, 263, 264, 392, 393, 394, 434, 439, 443, 453, 461, 477, 485, 492, 497, 510, 514, 518], "amongst": [10, 200, 263, 453], "thing": [10, 166, 181, 200, 263, 420, 434, 453], "explain_document_dl": [10, 200, 205, 223, 237, 263, 453, 459, 477, 492], "chunktodoc": [10, 263], "chunkconvert": [10, 263], "explainresult": [10, 200, 263, 453], "selectexpr": [10, 11, 28, 51, 63, 66, 67, 78, 79, 80, 84, 85, 86, 87, 88, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 128, 130, 131, 132, 133, 134, 135, 138, 141, 142, 143, 151, 153, 154, 156, 160, 168, 184, 185, 188, 190, 191, 192, 197, 199, 200, 223, 246, 247, 248, 263, 264, 280, 304, 312, 316, 318, 319, 331, 332, 333, 336, 338, 339, 340, 341, 343, 345, 346, 347, 348, 349, 350, 351, 352, 353, 355, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 379, 382, 383, 384, 386, 387, 388, 389, 392, 395, 396, 397, 405, 407, 408, 410, 413, 422, 438, 439, 441, 444, 445, 446, 450, 452, 453, 477, 500, 501, 503, 513, 514, 519], "explod": [10, 11, 28, 51, 63, 84, 85, 86, 88, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 130, 132, 133, 134, 135, 138, 141, 142, 151, 153, 154, 168, 192, 199, 200, 223, 243, 246, 248, 263, 264, 280, 304, 312, 316, 336, 338, 339, 341, 343, 345, 346, 347, 348, 349, 350, 351, 352, 353, 355, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 379, 383, 386, 387, 388, 389, 392, 395, 396, 405, 407, 408, 422, 446, 452, 453, 477, 498, 500, 503, 513, 514, 519], "col": [10, 84, 85, 122, 130, 138, 141, 179, 197, 199, 200, 201, 206, 223, 244, 263, 336, 338, 374, 383, 392, 395, 453, 477, 499, 513], "7": [10, 50, 78, 93, 94, 98, 131, 132, 146, 151, 164, 165, 169, 172, 173, 200, 248, 250, 254, 263, 303, 331, 345, 346, 350, 384, 386, 400, 405, 417, 419, 423, 426, 427, 453, 503, 505, 513], "loc": [10, 16, 22, 26, 31, 35, 40, 43, 48, 55, 58, 123, 138, 139, 140, 200, 205, 223, 237, 246, 263, 268, 274, 278, 283, 287, 293, 296, 301, 308, 311, 376, 392, 393, 394, 453, 459, 477, 492, 500], "22": [10, 200, 246, 263, 453, 500, 513], "part": [11, 96, 125, 128, 150, 151, 159, 160, 165, 184, 194, 197, 218, 235, 248, 252, 264, 342, 348, 379, 382, 404, 405, 412, 413, 419, 438, 448, 450, 472, 503, 520], "tag": [11, 28, 44, 50, 87, 96, 137, 138, 139, 140, 141, 150, 151, 194, 223, 231, 233, 235, 244, 246, 248, 249, 252, 264, 280, 297, 303, 340, 348, 391, 392, 393, 394, 395, 404, 405, 448, 477, 485, 488, 499, 500, 503, 504, 507, 520], "order": [11, 86, 104, 120, 122, 125, 131, 159, 160, 161, 165, 172, 182, 183, 205, 210, 218, 223, 264, 339, 342, 357, 373, 374, 379, 384, 412, 413, 414, 419, 426, 436, 437, 459, 464, 472, 477, 514, 515, 518, 520], "meaning": [11, 184, 264, 438], "phrase": [11, 96, 100, 116, 130, 134, 264, 348, 352, 369, 383, 388], "onto": [11, 223, 264, 477, 515], "pars": [11, 83, 84, 85, 96, 122, 128, 131, 132, 181, 182, 183, 205, 207, 209, 233, 234, 237, 243, 244, 246, 248, 264, 336, 337, 338, 348, 374, 382, 384, 386, 434, 436, 437, 459, 461, 463, 488, 492, 498, 499, 500, 503], "regular": [11, 86, 133, 139, 153, 264, 339, 387, 393, 407], "express": [11, 50, 63, 86, 131, 133, 153, 264, 303, 316, 339, 384, 387, 407], "wrap": [11, 264, 313, 432, 465, 466, 474, 480, 484], "angl": [11, 114, 264, 367], "bracket": [11, 264], "easili": [11, 103, 151, 199, 264, 355, 405, 452, 510], "distinguish": [11, 264], "itself": [11, 125, 170, 177, 194, 208, 264, 342, 379, 424, 431, 448, 462, 515], "form": [11, 28, 44, 50, 117, 122, 128, 130, 131, 133, 134, 154, 156, 182, 183, 194, 199, 231, 246, 247, 264, 280, 297, 303, 370, 374, 382, 383, 384, 387, 388, 408, 410, 436, 437, 448, 452, 485, 500, 501, 514], "peter": [11, 105, 128, 143, 151, 154, 182, 184, 246, 264, 358, 382, 397, 405, 408, 436, 438, 500], "piper": [11, 128, 151, 184, 264, 382, 405, 438], "employe": [11, 128, 151, 184, 264, 382, 405, 438], "pick": [11, 128, 151, 184, 264, 382, 405, 438], "peck": [11, 128, 151, 184, 264, 382, 405, 438], "pickl": [11, 128, 151, 184, 264, 382, 405, 438], "pepper": [11, 128, 151, 184, 264, 382, 405, 438], "nnp": [11, 151, 205, 223, 246, 247, 248, 249, 264, 405, 459, 477, 500, 501, 503, 504, 513, 518, 519, 520], "nn": [11, 86, 151, 246, 247, 248, 249, 264, 339, 405, 500, 501, 503, 504, 520], "vbp": [11, 151, 205, 247, 264, 405, 459, 501, 513, 518, 519], "vbg": [11, 151, 264, 405], "IN": [11, 151, 205, 223, 247, 248, 249, 264, 405, 459, 477, 501, 503, 504, 513, 518, 519], "jj": [11, 151, 205, 223, 246, 248, 264, 405, 459, 477, 500, 503, 513, 518, 519, 520], "enclos": [11, 264], "treat": [11, 181, 194, 264, 434, 448], "group": [11, 92, 159, 160, 165, 169, 175, 191, 233, 234, 264, 344, 412, 413, 419, 423, 429, 445, 488], "so": [11, 17, 18, 23, 28, 36, 49, 50, 56, 88, 125, 138, 145, 154, 167, 207, 208, 231, 264, 269, 270, 275, 280, 288, 302, 303, 309, 341, 342, 379, 392, 399, 408, 421, 461, 462, 485, 510], "here": [11, 128, 207, 223, 264, 382, 461, 477, 514], "specif": [11, 51, 71, 84, 85, 87, 93, 94, 99, 114, 115, 123, 125, 140, 161, 164, 166, 167, 170, 176, 179, 186, 205, 208, 231, 235, 243, 264, 304, 324, 336, 338, 340, 345, 346, 351, 367, 368, 376, 379, 394, 414, 417, 420, 421, 424, 430, 440, 459, 462, 485, 498, 518], "noun": [11, 247, 264, 501], "success": [11, 96, 107, 164, 264, 348, 360, 417], "grammar": [11, 159, 160, 211, 218, 264, 412, 413, 472], "parser": [11, 84, 85, 123, 252, 264, 336, 338, 376, 377], "Of": [11, 91, 194, 264, 343, 448], "postag": [11, 264], "11": [11, 82, 118, 119, 131, 132, 135, 151, 242, 250, 264, 335, 371, 372, 384, 386, 389, 405, 497, 505], "21": [11, 131, 132, 141, 151, 250, 264, 384, 386, 395, 405, 505], "35": [11, 95, 151, 162, 250, 264, 347, 405, 415, 505], "39": [11, 141, 146, 151, 243, 248, 250, 264, 395, 400, 405, 498, 503, 505], "52": [11, 141, 151, 248, 264, 395, 405, 503], "58": [11, 78, 151, 264, 331, 405], "choicesdelimit": [12, 13, 19, 37, 45, 265, 271, 289, 298], "setchoicesdelimit": [12, 13, 19, 37, 45, 265, 271, 289, 298], "coalescesent": [12, 14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 29, 30, 32, 33, 34, 36, 38, 39, 42, 46, 47, 49, 53, 54, 56, 57, 126, 127, 266, 267, 269, 270, 272, 273, 275, 276, 277, 279, 281, 282, 284, 285, 286, 288, 291, 292, 295, 299, 300, 302, 306, 307, 309, 310, 381], "getclass": [12, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 47, 48, 49, 54, 55, 56, 57, 58, 64, 67, 78, 80, 136, 142, 267, 268, 269, 270, 273, 274, 275, 277, 278, 279, 282, 283, 284, 286, 287, 288, 292, 293, 295, 296, 300, 301, 302, 307, 308, 309, 310, 311, 319, 331, 333, 396], "setcoalescesent": [12, 15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 126, 127, 267, 269, 270, 273, 275, 277, 279, 282, 284, 286, 288, 292, 295, 300, 302, 307, 309, 310, 381], "maxsentencelength": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 64, 65, 70, 71, 72, 73, 74, 75, 76, 77, 90, 91, 93, 94, 95, 96, 98, 99, 100, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 116, 118, 119, 120, 211, 218, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 309, 310, 311, 316, 317, 323, 324, 325, 326, 327, 328, 329, 330, 343, 345, 346, 347, 348, 350, 351, 352, 353, 357, 358, 359, 360, 361, 362, 363, 364, 366, 367, 369, 371, 372, 373, 472], "setmaxsentencelength": [12, 18, 48, 49, 56, 90, 100, 116, 211, 218, 270, 301, 302, 309, 352, 369, 472], "dropout": [12, 28, 50, 136, 140, 280, 303, 394], "setdropout": [12, 28, 50, 136, 140, 280, 303, 394, 514], "setshuffleperepoch": [12, 44, 231, 297, 485, 510], "setthreshold": [12, 44, 50, 124, 125, 126, 127, 211, 218, 231, 232, 234, 297, 303, 379, 381, 472, 485, 489, 510], "setverbos": [12, 44, 136, 139, 140, 147, 149, 297, 393, 394, 402], "shuffleperepoch": [12, 44, 297], "threshold": [12, 44, 50, 92, 100, 116, 124, 125, 126, 127, 139, 142, 159, 160, 181, 194, 211, 218, 232, 233, 234, 235, 243, 297, 303, 344, 352, 369, 379, 381, 393, 396, 412, 413, 434, 448, 472, 488, 489, 498], "setthresholdlabel": [12, 50, 126, 127, 303, 381], "thresholdlabel": [12, 50, 126, 127, 303, 381], "classifi": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 66, 67, 78, 125, 199, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 318, 319, 331, 377, 379, 452, 514], "dl": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 127, 140, 142, 182, 183, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 381, 394, 396, 436, 437], "albert": [13, 14, 15, 16, 91, 265, 266, 267, 268, 343], "choic": [13, 19, 37, 45, 110, 111, 133, 166, 169, 265, 271, 289, 298, 363, 364, 387, 420, 423], 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176, 177, 218, 358, 414, 428], "pdf": [69, 70, 71, 72, 73, 74, 75, 76, 77, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 218, 233, 235, 240, 242, 243, 244, 488, 490, 497, 498, 499], "1909": [69, 70, 71, 72, 73, 74, 75, 76, 77, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 218], "05858": [69, 70, 71, 72, 73, 74, 75, 76, 77, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 218], "__": [69, 70, 71, 72, 73, 74, 75, 76, 77, 87, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 199, 200, 218, 340, 414, 452, 453], "ctrl": [69, 70, 71, 72, 73, 74, 75, 76, 77, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 218, 321, 323, 324, 325, 326, 327, 328, 329, 330, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 472], "condit": [69, 70, 71, 72, 73, 74, 75, 76, 77, 93, 94, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 218, 321, 323, 324, 325, 326, 327, 328, 329, 330, 345, 346, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 472], "control": [69, 70, 71, 72, 73, 74, 75, 76, 77, 145, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 179, 181, 218, 312, 321, 323, 324, 325, 326, 327, 328, 329, 330, 399, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 434, 472], "internvl": [70, 323], "advanc": [70, 95, 127, 166, 169, 174, 175, 176, 197, 207, 210, 323, 347, 381, 420, 423, 428, 429, 430, 450, 461, 464], "mllm": [70, 323], "seri": [70, 163, 171, 175, 323, 416, 425, 429], "build": [70, 98, 99, 110, 111, 123, 125, 130, 164, 165, 167, 171, 172, 176, 231, 243, 254, 323, 350, 351, 363, 364, 376, 379, 383, 417, 419, 421, 425, 426, 430, 485, 498, 510], "core": [70, 81, 114, 323, 334, 367], "introduc": [70, 93, 94, 95, 99, 103, 104, 105, 107, 114, 161, 165, 166, 169, 173, 175, 176, 177, 323, 345, 346, 347, 351, 355, 357, 358, 360, 367, 414, 419, 420, 423, 427, 429, 430, 431], "signific": [70, 110, 111, 118, 119, 125, 128, 165, 175, 323, 363, 364, 371, 372, 379, 382, 419, 429], "enhanc": [70, 71, 98, 157, 161, 166, 169, 172, 323, 324, 350, 411, 414, 420, 423, 426], "strategi": [70, 92, 97, 108, 112, 113, 114, 129, 131, 133, 153, 159, 160, 181, 217, 218, 234, 323, 344, 349, 361, 365, 366, 367, 384, 387, 407, 412, 413, 434, 471, 472], "int4": [70, 323], "quantiz": [70, 323], "internvl2_5_1b_int4": [70, 323], "larger": [70, 71, 73, 77, 79, 92, 95, 96, 99, 110, 111, 159, 160, 161, 162, 163, 164, 165, 166, 168, 169, 171, 172, 173, 174, 175, 176, 177, 179, 312, 323, 324, 326, 330, 332, 344, 347, 348, 351, 363, 364, 412, 413, 414, 415, 416, 417, 419, 420, 422, 423, 425, 426, 427, 428, 429, 430, 431, 432], "im_start": [70, 76, 77, 323, 329, 330], "ndescrib": [70, 74, 323, 327], "im_end": [70, 76, 323, 329], "janu": 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175, 176, 324, 326, 367, 419, 420, 426, 429, 430], "3b": [71, 176, 324, 430], "approxim": [71, 179, 324, 432], "500b": [71, 324], "emploi": [71, 88, 120, 324, 341, 373], "siglip": [71, 324], "downsampl": [71, 324], "16": [71, 91, 120, 141, 235, 248, 324, 343, 373, 395, 490, 503, 513], "janus_1_3b_int4": [71, 324], "suit": [71, 73, 76, 77, 95, 113, 324, 326, 329, 330, 347, 366], "image_placehold": [71, 324], "nassist": [71, 74, 77, 324, 327, 330], "unusu": [71, 72, 73, 75, 76, 77, 324, 325, 326, 328, 329, 330], "aspect": [71, 72, 73, 75, 77, 169, 324, 325, 326, 328, 330, 423], "presenc": [71, 72, 73, 75, 77, 159, 160, 218, 324, 325, 326, 328, 330, 412, 413, 472], "ly": [71, 72, 73, 75, 76, 77, 160, 324, 325, 326, 328, 329, 330, 413], "pink": [71, 72, 73, 75, 76, 77, 160, 324, 325, 326, 328, 329, 330, 413], "couch": [71, 72, 73, 75, 76, 77, 79, 324, 325, 326, 328, 329, 330, 332], "parallel": [71, 92, 102, 153, 154, 205, 218, 246, 324, 344, 354, 407, 408, 459, 472, 500, 518], "llava": 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353, 359, 367, 379, 399, 417, 419, 426, 427, 461, 484, 493, 500, 514, 520], "purpos": [78, 99, 101, 154, 331, 351, 353, 408], "adapt": [78, 175, 331, 429], "aris": [78, 331], "domain": [78, 104, 114, 125, 164, 244, 331, 357, 367, 379, 417, 499], "variat": [78, 331], "high": [78, 92, 113, 114, 115, 118, 119, 159, 160, 161, 167, 168, 170, 173, 176, 218, 312, 331, 344, 366, 367, 368, 371, 372, 412, 413, 414, 421, 422, 424, 427, 430, 472], "variou": [78, 106, 114, 120, 169, 172, 176, 232, 233, 234, 235, 243, 244, 253, 331, 359, 367, 373, 423, 426, 430, 487, 488, 489, 490, 498, 499, 508], "complex": [78, 103, 114, 115, 125, 169, 175, 182, 183, 331, 355, 367, 368, 379, 423, 429, 436, 437], "respect": [78, 98, 117, 139, 140, 173, 248, 331, 342, 350, 370, 393, 394, 427, 503], "broad": [78, 86, 164, 331, 339, 417], "rang": [78, 93, 94, 98, 99, 101, 104, 118, 119, 159, 160, 161, 165, 166, 172, 218, 331, 345, 346, 350, 351, 353, 357, 371, 372, 412, 413, 414, 419, 420, 426, 472], "1k": [78, 331], 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355, 363, 364, 373, 410, 414, 415, 416, 417, 419, 420, 422, 423, 425, 426, 427, 428, 429, 430, 431, 436], "especi": [79, 161, 162, 163, 164, 165, 166, 168, 169, 171, 172, 173, 174, 175, 176, 177, 312, 332, 414, 415, 416, 417, 419, 420, 422, 423, 425, 426, 427, 428, 429, 430, 431], "recommend": [79, 92, 103, 120, 145, 156, 157, 159, 160, 161, 162, 163, 164, 165, 166, 168, 169, 171, 172, 173, 174, 175, 176, 177, 254, 312, 332, 344, 355, 373, 399, 410, 411, 412, 413, 414, 415, 416, 417, 419, 420, 422, 423, 425, 426, 427, 428, 429, 430, 431], "imagecapt": [79, 332], "fill": [79, 161, 252, 332, 414, 507], "furnitur": [79, 332], "lai": [79, 170, 332, 424], "anoth": [79, 106, 160, 218, 243, 332, 359, 413, 472, 498, 515], "brown": [79, 160, 233, 332, 413, 488], "bear": [79, 233, 332, 488], "bodi": [79, 160, 332, 413], "water": [79, 160, 332, 413], "flock": [79, 332], "chicken": [79, 160, 332, 413], "lush": [79, 332], "green": [79, 160, 332, 413], "small": [79, 80, 87, 91, 92, 96, 99, 100, 109, 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"module-sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification module": [[55, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification module": [[56, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification module": [[57, "module-sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.xlnet_for_token_classification module": [[58, "module-sparknlp.annotator.classifier_dl.xlnet_for_token_classification"]], "sparknlp.annotator.cleaners package": [[59, "sparknlp-annotator-cleaners-package"]], "sparknlp.annotator.cleaners.cleaner module": [[60, "module-sparknlp.annotator.cleaners.cleaner"]], "sparknlp.annotator.cleaners.extractor module": [[61, 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module": [[70, "module-sparknlp.annotator.cv.internvl_for_multimodal"]], "References": [[70, "references"], [71, "references"], [77, "references"], [323, "references"], [324, "references"], [330, "references"]], "sparknlp.annotator.cv.janus_for_multimodal module": [[71, "module-sparknlp.annotator.cv.janus_for_multimodal"]], "sparknlp.annotator.cv.llava_for_multimodal module": [[72, "module-sparknlp.annotator.cv.llava_for_multimodal"]], "sparknlp.annotator.cv.mllama_for_multimodal module": [[73, "module-sparknlp.annotator.cv.mllama_for_multimodal"]], "sparknlp.annotator.cv.paligemma_for_multimodal module": [[74, "module-sparknlp.annotator.cv.paligemma_for_multimodal"]], "sparknlp.annotator.cv.phi3_vision_for_multimodal module": [[75, "module-sparknlp.annotator.cv.phi3_vision_for_multimodal"]], "sparknlp.annotator.cv.qwen2vl_transformer module": [[76, "module-sparknlp.annotator.cv.qwen2vl_transformer"]], "sparknlp.annotator.cv.smolvlm_transformer module": [[77, "module-sparknlp.annotator.cv.smolvlm_transformer"]], "sparknlp.annotator.cv.swin_for_image_classification module": [[78, "module-sparknlp.annotator.cv.swin_for_image_classification"]], "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning module": [[79, "module-sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning"]], "sparknlp.annotator.cv.vit_for_image_classification module": [[80, "module-sparknlp.annotator.cv.vit_for_image_classification"]], "sparknlp.annotator.dataframe_optimizer module": [[81, "module-sparknlp.annotator.dataframe_optimizer"]], "sparknlp.annotator.date2_chunk module": [[82, "module-sparknlp.annotator.date2_chunk"]], "sparknlp.annotator.dependency package": [[83, "sparknlp-annotator-dependency-package"]], "sparknlp.annotator.dependency.dependency_parser module": [[84, "module-sparknlp.annotator.dependency.dependency_parser"]], "sparknlp.annotator.dependency.typed_dependency_parser module": [[85, 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"module-sparknlp.annotator.embeddings.bert_embeddings"]], "sparknlp.annotator.embeddings.bert_sentence_embeddings module": [[94, "module-sparknlp.annotator.embeddings.bert_sentence_embeddings"]], "sparknlp.annotator.embeddings.bge_embeddings module": [[95, "module-sparknlp.annotator.embeddings.bge_embeddings"]], "sparknlp.annotator.embeddings.camembert_embeddings module": [[96, "module-sparknlp.annotator.embeddings.camembert_embeddings"]], "sparknlp.annotator.embeddings.chunk_embeddings module": [[97, "module-sparknlp.annotator.embeddings.chunk_embeddings"]], "sparknlp.annotator.embeddings.deberta_embeddings module": [[98, "module-sparknlp.annotator.embeddings.deberta_embeddings"]], "sparknlp.annotator.embeddings.distil_bert_embeddings module": [[99, "module-sparknlp.annotator.embeddings.distil_bert_embeddings"]], "sparknlp.annotator.embeddings.doc2vec module": [[100, "module-sparknlp.annotator.embeddings.doc2vec"]], "sparknlp.annotator.embeddings.e5_embeddings module": [[101, 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"module-sparknlp.annotator.embeddings.nomic_embeddings"]], "sparknlp.annotator.embeddings.roberta_embeddings module": [[110, "module-sparknlp.annotator.embeddings.roberta_embeddings"]], "sparknlp.annotator.embeddings.roberta_sentence_embeddings module": [[111, "module-sparknlp.annotator.embeddings.roberta_sentence_embeddings"]], "sparknlp.annotator.embeddings.sentence_embeddings module": [[112, "module-sparknlp.annotator.embeddings.sentence_embeddings"]], "sparknlp.annotator.embeddings.snowflake_embeddings module": [[113, "module-sparknlp.annotator.embeddings.snowflake_embeddings"]], "sparknlp.annotator.embeddings.uae_embeddings module": [[114, "module-sparknlp.annotator.embeddings.uae_embeddings"]], "sparknlp.annotator.embeddings.universal_sentence_encoder module": [[115, "module-sparknlp.annotator.embeddings.universal_sentence_encoder"]], "sparknlp.annotator.embeddings.word2vec module": [[116, "module-sparknlp.annotator.embeddings.word2vec"]], "sparknlp.annotator.embeddings.word_embeddings module": [[117, "module-sparknlp.annotator.embeddings.word_embeddings"]], "sparknlp.annotator.embeddings.xlm_roberta_embeddings module": [[118, "module-sparknlp.annotator.embeddings.xlm_roberta_embeddings"]], "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings module": [[119, "module-sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings"]], "sparknlp.annotator.embeddings.xlnet_embeddings module": [[120, "module-sparknlp.annotator.embeddings.xlnet_embeddings"]], "sparknlp.annotator.er package": [[121, "sparknlp-annotator-er-package"]], "sparknlp.annotator.er.entity_ruler module": [[122, "module-sparknlp.annotator.er.entity_ruler"]], "sparknlp.annotator.graph_extraction module": [[123, "module-sparknlp.annotator.graph_extraction"]], "sparknlp.annotator.keyword_extraction package": [[124, "sparknlp-annotator-keyword-extraction-package"]], "sparknlp.annotator.keyword_extraction.yake_keyword_extraction module": [[125, 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(hasllamacppproperties attribute)": [[218, "sparknlp.common.properties.HasLlamaCppProperties.topP"], [472, "sparknlp.common.properties.HasLlamaCppProperties.topP"]], "typicalp (hasllamacppproperties attribute)": [[218, "sparknlp.common.properties.HasLlamaCppProperties.typicalP"], [472, "sparknlp.common.properties.HasLlamaCppProperties.typicalP"]], "useclstoken (hasclstokenproperties attribute)": [[218, "sparknlp.common.properties.HasClsTokenProperties.useCLSToken"], [472, "sparknlp.common.properties.HasClsTokenProperties.useCLSToken"]], "usechattemplate (hasllamacppproperties attribute)": [[218, "sparknlp.common.properties.HasLlamaCppProperties.useChatTemplate"], [472, "sparknlp.common.properties.HasLlamaCppProperties.useChatTemplate"]], "usemlock (hasllamacppproperties attribute)": [[218, "sparknlp.common.properties.HasLlamaCppProperties.useMlock"], [472, "sparknlp.common.properties.HasLlamaCppProperties.useMlock"]], "usemmap (hasllamacppproperties attribute)": [[218, 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"sparknlp.partition.partition_properties.HasChunkerProperties.newAfterNChars"]], "overlap (haschunkerproperties attribute)": [[234, "sparknlp.partition.partition_properties.HasChunkerProperties.overlap"], [489, "sparknlp.partition.partition_properties.HasChunkerProperties.overlap"]], "overlapall (haschunkerproperties attribute)": [[234, "sparknlp.partition.partition_properties.HasChunkerProperties.overlapAll"], [489, "sparknlp.partition.partition_properties.HasChunkerProperties.overlapAll"]], "paragraphsplit (hastextreaderproperties attribute)": [[234, "sparknlp.partition.partition_properties.HasTextReaderProperties.paragraphSplit"], [489, "sparknlp.partition.partition_properties.HasTextReaderProperties.paragraphSplit"]], "setaddattachmentcontent() (hasemailreaderproperties method)": [[234, "sparknlp.partition.partition_properties.HasEmailReaderProperties.setAddAttachmentContent"], [489, "sparknlp.partition.partition_properties.HasEmailReaderProperties.setAddAttachmentContent"]], 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"sparknlp.partition.partition_transformer.PartitionTransformer.setTitleFontSize"]], "sparknlp.partition.partition_transformer": [[235, "module-sparknlp.partition.partition_transformer"], [490, "module-sparknlp.partition.partition_transformer"]], "storecontent (partitiontransformer attribute)": [[235, "sparknlp.partition.partition_transformer.PartitionTransformer.storeContent"], [490, "sparknlp.partition.partition_transformer.PartitionTransformer.storeContent"]], "titlefontsize (partitiontransformer attribute)": [[235, "sparknlp.partition.partition_transformer.PartitionTransformer.titleFontSize"], [490, "sparknlp.partition.partition_transformer.PartitionTransformer.titleFontSize"]], "sparknlp.pretrained": [[236, "module-sparknlp.pretrained"], [491, "module-sparknlp.pretrained"]], "pretrainedpipeline (class in sparknlp.pretrained.pretrained_pipeline)": [[237, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline"], [492, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline"]], "annotate() (pretrainedpipeline method)": [[237, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.annotate"], [492, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.annotate"]], "from_disk() (pretrainedpipeline static method)": [[237, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.from_disk"], [492, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.from_disk"]], "fullannotate() (pretrainedpipeline method)": [[237, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.fullAnnotate"], [492, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.fullAnnotate"]], "fullannotateimage() (pretrainedpipeline method)": [[237, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.fullAnnotateImage"], [492, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.fullAnnotateImage"]], "sparknlp.pretrained.pretrained_pipeline": [[237, 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(resourcedownloader static method)": [[238, "sparknlp.pretrained.resource_downloader.ResourceDownloader.downloadModelDirectly"], [493, "sparknlp.pretrained.resource_downloader.ResourceDownloader.downloadModelDirectly"]], "downloadpipeline() (resourcedownloader static method)": [[238, "sparknlp.pretrained.resource_downloader.ResourceDownloader.downloadPipeline"], [493, "sparknlp.pretrained.resource_downloader.ResourceDownloader.downloadPipeline"]], "showavailableannotators() (resourcedownloader static method)": [[238, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showAvailableAnnotators"], [493, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showAvailableAnnotators"]], "showpublicmodels() (resourcedownloader static method)": [[238, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showPublicModels"], [493, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showPublicModels"]], "showpublicpipelines() (resourcedownloader static method)": [[238, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showPublicPipelines"], [493, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showPublicPipelines"]], "showuncategorizedresources() (resourcedownloader static method)": [[238, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showUnCategorizedResources"], [493, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showUnCategorizedResources"]], "sparknlp.pretrained.resource_downloader": [[238, "module-sparknlp.pretrained.resource_downloader"], [493, "module-sparknlp.pretrained.resource_downloader"]], "printprogress() (in module sparknlp.pretrained.utils)": [[239, "sparknlp.pretrained.utils.printProgress"], [494, "sparknlp.pretrained.utils.printProgress"]], "sparknlp.pretrained.utils": [[239, "module-sparknlp.pretrained.utils"], [494, "module-sparknlp.pretrained.utils"]], "sparknlp.reader": [[240, "module-sparknlp.reader"], [496, "module-sparknlp.reader"]], "pdf_layout_text_stripper (textstrippertype attribute)": [[241, "sparknlp.reader.enums.TextStripperType.PDF_LAYOUT_TEXT_STRIPPER"], [495, "sparknlp.reader.enums.TextStripperType.PDF_LAYOUT_TEXT_STRIPPER"]], "pdf_text_stripper (textstrippertype attribute)": [[241, "sparknlp.reader.enums.TextStripperType.PDF_TEXT_STRIPPER"], [495, "sparknlp.reader.enums.TextStripperType.PDF_TEXT_STRIPPER"]], "textstrippertype (class in sparknlp.reader.enums)": [[241, "sparknlp.reader.enums.TextStripperType"], [495, "sparknlp.reader.enums.TextStripperType"]], "sparknlp.reader.enums": [[241, "module-sparknlp.reader.enums"], [495, "module-sparknlp.reader.enums"]], "pdftotext (class in sparknlp.reader.pdf_to_text)": [[242, "sparknlp.reader.pdf_to_text.PdfToText"], [497, "sparknlp.reader.pdf_to_text.PdfToText"]], "extractcoordinates (pdftotext attribute)": [[242, "sparknlp.reader.pdf_to_text.PdfToText.extractCoordinates"], [497, "sparknlp.reader.pdf_to_text.PdfToText.extractCoordinates"]], "normalizeligatures (pdftotext attribute)": [[242, "sparknlp.reader.pdf_to_text.PdfToText.normalizeLigatures"], [497, "sparknlp.reader.pdf_to_text.PdfToText.normalizeLigatures"]], "onlypagenum (pdftotext attribute)": [[242, "sparknlp.reader.pdf_to_text.PdfToText.onlyPageNum"], [497, "sparknlp.reader.pdf_to_text.PdfToText.onlyPageNum"]], "pagenumcol (pdftotext attribute)": [[242, "sparknlp.reader.pdf_to_text.PdfToText.pageNumCol"], [497, "sparknlp.reader.pdf_to_text.PdfToText.pageNumCol"]], "partitionnum (pdftotext attribute)": [[242, "sparknlp.reader.pdf_to_text.PdfToText.partitionNum"], [497, "sparknlp.reader.pdf_to_text.PdfToText.partitionNum"]], "setextractcoordinates() (pdftotext method)": [[242, "sparknlp.reader.pdf_to_text.PdfToText.setExtractCoordinates"], [497, "sparknlp.reader.pdf_to_text.PdfToText.setExtractCoordinates"]], "setinputcol() (pdftotext method)": [[242, "sparknlp.reader.pdf_to_text.PdfToText.setInputCol"], [497, "sparknlp.reader.pdf_to_text.PdfToText.setInputCol"]], "setnormalizeligatures() (pdftotext method)": [[242, "sparknlp.reader.pdf_to_text.PdfToText.setNormalizeLigatures"], [497, "sparknlp.reader.pdf_to_text.PdfToText.setNormalizeLigatures"]], "setonlypagenum() (pdftotext method)": [[242, "sparknlp.reader.pdf_to_text.PdfToText.setOnlyPageNum"], [497, "sparknlp.reader.pdf_to_text.PdfToText.setOnlyPageNum"]], "setoutputcol() (pdftotext method)": [[242, "sparknlp.reader.pdf_to_text.PdfToText.setOutputCol"], [497, "sparknlp.reader.pdf_to_text.PdfToText.setOutputCol"]], "setpagenumcol() (pdftotext method)": [[242, "sparknlp.reader.pdf_to_text.PdfToText.setPageNumCol"], [497, "sparknlp.reader.pdf_to_text.PdfToText.setPageNumCol"]], "setpartitionnum() (pdftotext method)": [[242, "sparknlp.reader.pdf_to_text.PdfToText.setPartitionNum"], [497, "sparknlp.reader.pdf_to_text.PdfToText.setPartitionNum"]], "setsort() (pdftotext method)": [[242, "sparknlp.reader.pdf_to_text.PdfToText.setSort"], [497, "sparknlp.reader.pdf_to_text.PdfToText.setSort"]], "setsplitpage() (pdftotext method)": 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--git a/docs/api/python/user_guide/index.html b/docs/api/python/user_guide/index.html index 91c3bb02b71153..67bd4874b3363b 100644 --- a/docs/api/python/user_guide/index.html +++ b/docs/api/python/user_guide/index.html @@ -8,7 +8,7 @@ - User Guide — Spark NLP 6.0.5 documentation + User Guide — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -124,8 +124,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/user_guide/light_pipelines.html b/docs/api/python/user_guide/light_pipelines.html index 1ed930bcc5814e..8769c9886efb96 100644 --- a/docs/api/python/user_guide/light_pipelines.html +++ b/docs/api/python/user_guide/light_pipelines.html @@ -8,7 +8,7 @@ - Light Pipelines — Spark NLP 6.0.5 documentation + Light Pipelines — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -124,8 +124,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/user_guide/pretrained_pipelines.html b/docs/api/python/user_guide/pretrained_pipelines.html index 92c9a666f69f9d..606854a1423d06 100644 --- a/docs/api/python/user_guide/pretrained_pipelines.html +++ b/docs/api/python/user_guide/pretrained_pipelines.html @@ -8,7 +8,7 @@ - Pretrained Pipelines — Spark NLP 6.0.5 documentation + Pretrained Pipelines — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -124,8 +124,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/python/user_guide/training.html b/docs/api/python/user_guide/training.html index 3613073ed05e88..3c1e091ed5a62d 100644 --- a/docs/api/python/user_guide/training.html +++ b/docs/api/python/user_guide/training.html @@ -8,7 +8,7 @@ - Loading datasets for training — Spark NLP 6.0.5 documentation + Loading datasets for training — Spark NLP 6.1.0 documentation @@ -37,7 +37,7 @@ - + @@ -124,8 +124,8 @@ - Spark NLP 6.0.5 documentation - Home - + Spark NLP 6.1.0 documentation - Home + diff --git a/docs/api/scala/collection/compat/index.html b/docs/api/scala/collection/compat/index.html index d5fe97be136d43..b3132e00b03eb9 100644 --- a/docs/api/scala/collection/compat/index.html +++ b/docs/api/scala/collection/compat/index.html @@ -3,9 +3,9 @@ - Spark NLP 6.0.5 ScalaDoc - scala.collection.compat - - + Spark NLP 6.1.0-rc1 ScalaDoc - scala.collection.compat + + @@ -28,7 +28,7 @@