c

com.johnsnowlabs.partition

PartitionTransformer

class PartitionTransformer extends AnnotatorModel[PartitionTransformer] with HasSimpleAnnotate[PartitionTransformer] with HasReaderProperties with HasEmailReaderProperties with HasExcelReaderProperties with HasHTMLReaderProperties with HasPowerPointProperties with HasTextReaderProperties with HasPdfProperties with HasXmlReaderProperties with HasChunkerProperties

The PartitionTransformer annotator allows you to use the Partition feature more smoothly within existing Spark NLP workflows, enabling seamless reuse of your pipelines. PartitionTransformer can be used for extracting structured content from various document types using Spark NLP readers. It supports reading from files, URLs, in-memory strings, or byte arrays, 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), and PDFs.

Example

import com.johnsnowlabs.partition.PartitionTransformer
import com. johnsnowlabs. nlp. base. DocumentAssembler
import org.apache.spark.ml.Pipeline
import spark.implicits._
val urls = Seq("https://www.blizzard.com", "https://www.google.com/").toDS.toDF("text")

val documentAssembler = new DocumentAssembler()
  .setInputCol("text")
  .setOutputCol("documents")

val partition = new PartitionTransformer()
  .setInputCols("document")
  .setOutputCol("partition")
  .setContentType("url")
  .setHeaders(Map("Accept-Language" -> "es-ES"))

val pipeline = new Pipeline()
  .setStages(Array(documentAssembler, partition))

val pipelineModel = pipeline.fit(testDataSet)
val resultDf = pipelineModel.transform(testDataSet)

resultDf.show()
+--------------------+--------------------+--------------------+
|                text|            document|           partition|
+--------------------+--------------------+--------------------+
|https://www.blizz...|[{Title, Juegos d...|[{document, 0, 16...|
|https://www.googl...|[{Title, Gmail Im...|[{document, 0, 28...|
+--------------------+--------------------+--------------------+
Linear Supertypes
HasChunkerProperties, HasXmlReaderProperties, HasPdfProperties, HasTextReaderProperties, HasPowerPointProperties, HasHTMLReaderProperties, HasExcelReaderProperties, HasEmailReaderProperties, HasReaderProperties, HasSimpleAnnotate[PartitionTransformer], AnnotatorModel[PartitionTransformer], CanBeLazy, RawAnnotator[PartitionTransformer], HasOutputAnnotationCol, HasInputAnnotationCols, HasOutputAnnotatorType, ParamsAndFeaturesWritable, HasFeatures, DefaultParamsWritable, MLWritable, Model[PartitionTransformer], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. PartitionTransformer
  2. HasChunkerProperties
  3. HasXmlReaderProperties
  4. HasPdfProperties
  5. HasTextReaderProperties
  6. HasPowerPointProperties
  7. HasHTMLReaderProperties
  8. HasExcelReaderProperties
  9. HasEmailReaderProperties
  10. HasReaderProperties
  11. HasSimpleAnnotate
  12. AnnotatorModel
  13. CanBeLazy
  14. RawAnnotator
  15. HasOutputAnnotationCol
  16. HasInputAnnotationCols
  17. HasOutputAnnotatorType
  18. ParamsAndFeaturesWritable
  19. HasFeatures
  20. DefaultParamsWritable
  21. MLWritable
  22. Model
  23. Transformer
  24. PipelineStage
  25. Logging
  26. Params
  27. Serializable
  28. Serializable
  29. Identifiable
  30. AnyRef
  31. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new PartitionTransformer()
  2. new PartitionTransformer(uid: String)

Type Members

  1. type AnnotationContent = Seq[Row]

    internal types to show Rows as a relevant StructType Should be deleted once Spark releases UserDefinedTypes to @developerAPI

    internal types to show Rows as a relevant StructType Should be deleted once Spark releases UserDefinedTypes to @developerAPI

    Attributes
    protected
    Definition Classes
    AnnotatorModel
  2. type AnnotatorType = String
    Definition Classes
    HasOutputAnnotatorType

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. def $$[T](feature: StructFeature[T]): T
    Attributes
    protected
    Definition Classes
    HasFeatures
  5. def $$[K, V](feature: MapFeature[K, V]): Map[K, V]
    Attributes
    protected
    Definition Classes
    HasFeatures
  6. def $$[T](feature: SetFeature[T]): Set[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  7. def $$[T](feature: ArrayFeature[T]): Array[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  8. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  9. def _transform(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): DataFrame
    Definition Classes
    PartitionTransformer → AnnotatorModel
  10. val addAttachmentContent: Param[Boolean]
    Definition Classes
    HasEmailReaderProperties
  11. def afterAnnotate(dataset: DataFrame): DataFrame
    Attributes
    protected
    Definition Classes
    AnnotatorModel
  12. def annotate(annotations: Seq[Annotation]): Seq[Annotation]

    takes a document and annotations and produces new annotations of this annotator's annotation type

    takes a document and annotations and produces new annotations of this annotator's annotation type

    annotations

    Annotations that correspond to inputAnnotationCols generated by previous annotators if any

    returns

    any number of annotations processed for every input annotation. Not necessary one to one relationship

    Definition Classes
    PartitionTransformer → HasSimpleAnnotate
  13. val appendCells: Param[Boolean]
    Definition Classes
    HasExcelReaderProperties
  14. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  15. def beforeAnnotate(dataset: Dataset[_]): Dataset[_]
    Attributes
    protected
    Definition Classes
    AnnotatorModel
  16. val cellSeparator: Param[String]
    Definition Classes
    HasExcelReaderProperties
  17. final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  18. val chunkingStrategy: Param[String]
    Definition Classes
    HasChunkerProperties
  19. final def clear(param: Param[_]): PartitionTransformer.this.type
    Definition Classes
    Params
  20. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  21. val combineTextUnderNChars: Param[Int]
    Definition Classes
    HasChunkerProperties
  22. val contentPath: Param[String]
    Definition Classes
    HasReaderProperties
  23. val contentType: Param[String]
    Definition Classes
    HasReaderProperties
  24. def copy(extra: ParamMap): PartitionTransformer

    requirement for annotators copies

    requirement for annotators copies

    Definition Classes
    RawAnnotator → Model → Transformer → PipelineStage → Params
  25. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  26. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  27. def dfAnnotate: UserDefinedFunction

    Wraps annotate to happen inside SparkSQL user defined functions in order to act with org.apache.spark.sql.Column

    Wraps annotate to happen inside SparkSQL user defined functions in order to act with org.apache.spark.sql.Column

    returns

    udf function to be applied to inputCols using this annotator's annotate function as part of ML transformation

    Definition Classes
    HasSimpleAnnotate
  28. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  29. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  30. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  31. def explainParams(): String
    Definition Classes
    Params
  32. def extraValidate(structType: StructType): Boolean
    Attributes
    protected
    Definition Classes
    RawAnnotator
  33. def extraValidateMsg: String

    Override for additional custom schema checks

    Override for additional custom schema checks

    Attributes
    protected
    Definition Classes
    RawAnnotator
  34. final val extractCoordinates: BooleanParam
    Definition Classes
    HasPdfProperties
  35. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  36. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  37. val features: ArrayBuffer[Feature[_, _, _]]
    Definition Classes
    HasFeatures
  38. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  39. def get[T](feature: StructFeature[T]): Option[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  40. def get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  41. def get[T](feature: SetFeature[T]): Option[Set[T]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  42. def get[T](feature: ArrayFeature[T]): Option[Array[T]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  43. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  44. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  45. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  46. def getInputCols: Array[String]

    returns

    input annotations columns currently used

    Definition Classes
    HasInputAnnotationCols
  47. def getLazyAnnotator: Boolean
    Definition Classes
    CanBeLazy
  48. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  49. final def getOutputCol: String

    Gets annotation column name going to generate

    Gets annotation column name going to generate

    Definition Classes
    HasOutputAnnotationCol
  50. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  51. val groupBrokenParagraphs: Param[Boolean]
    Definition Classes
    HasTextReaderProperties
  52. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  53. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  54. def hasParent: Boolean
    Definition Classes
    Model
  55. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  56. val headers: Param[Map[String, String]]
    Definition Classes
    HasHTMLReaderProperties
  57. val includePageBreaks: Param[Boolean]
    Definition Classes
    HasReaderProperties
  58. val includeSlideNotes: Param[Boolean]
    Definition Classes
    HasPowerPointProperties
  59. val includeTitleTag: Param[Boolean]
    Definition Classes
    HasHTMLReaderProperties
  60. val inferTableStructure: Param[Boolean]
    Definition Classes
    HasReaderProperties
  61. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  62. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  63. val inputAnnotatorTypes: Array[AnnotatorType]

    Annotator reference id.

    Annotator reference id. Used to identify elements in metadata or to refer to this annotator type

    Definition Classes
    PartitionTransformer → HasInputAnnotationCols
  64. final val inputCols: StringArrayParam

    columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified

    columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified

    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  65. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  66. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  67. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  68. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  69. val lazyAnnotator: BooleanParam
    Definition Classes
    CanBeLazy
  70. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  71. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  72. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  73. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  74. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  75. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  76. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  77. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  78. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  79. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  80. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  81. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  82. val logger: Logger
    Attributes
    protected
  83. val maxCharacters: Param[Int]
    Definition Classes
    HasChunkerProperties
  84. val maxLineCount: Param[Int]
    Definition Classes
    HasTextReaderProperties
  85. def msgHelper(schema: StructType): String
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  86. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  87. val newAfterNChars: Param[Int]
    Definition Classes
    HasChunkerProperties
  88. final val normalizeLigatures: BooleanParam
    Definition Classes
    HasPdfProperties
  89. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  90. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  91. def onWrite(path: String, spark: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesWritable
  92. val onlyLeafNodes: Param[Boolean]
    Definition Classes
    HasXmlReaderProperties
  93. final val onlyPageNum: BooleanParam
    Definition Classes
    HasPdfProperties
  94. val optionalInputAnnotatorTypes: Array[String]
    Definition Classes
    HasInputAnnotationCols
  95. final val originCol: Param[String]
    Definition Classes
    HasPdfProperties
  96. val outputAnnotatorType: AnnotatorType
    Definition Classes
    PartitionTransformer → HasOutputAnnotatorType
  97. final val outputCol: Param[String]
    Attributes
    protected
    Definition Classes
    HasOutputAnnotationCol
  98. val overlap: Param[Int]
    Definition Classes
    HasChunkerProperties
  99. val overlapAll: Param[Boolean]
    Definition Classes
    HasChunkerProperties
  100. final val pageNumCol: Param[String]
    Definition Classes
    HasPdfProperties
  101. val paragraphSplit: Param[String]
    Definition Classes
    HasTextReaderProperties
  102. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  103. var parent: Estimator[PartitionTransformer]
    Definition Classes
    Model
  104. final val partitionNum: IntParam
    Definition Classes
    HasPdfProperties
  105. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  106. def set[T](feature: StructFeature[T], value: T): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  107. def set[K, V](feature: MapFeature[K, V], value: Map[K, V]): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  108. def set[T](feature: SetFeature[T], value: Set[T]): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  109. def set[T](feature: ArrayFeature[T], value: Array[T]): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  110. final def set(paramPair: ParamPair[_]): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  111. final def set(param: String, value: Any): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  112. final def set[T](param: Param[T], value: T): PartitionTransformer.this.type
    Definition Classes
    Params
  113. def setAddAttachmentContent(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasEmailReaderProperties
  114. def setAppendCells(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasExcelReaderProperties
  115. def setCellSeparator(value: String): PartitionTransformer.this.type
    Definition Classes
    HasExcelReaderProperties
  116. def setChunkingStrategy(value: String): PartitionTransformer.this.type
    Definition Classes
    HasChunkerProperties
  117. def setComBineTextUnderNChars(value: Int): PartitionTransformer.this.type
    Definition Classes
    HasChunkerProperties
  118. def setContentPath(value: String): PartitionTransformer.this.type
    Definition Classes
    HasReaderProperties
  119. def setContentType(value: String): PartitionTransformer.this.type
    Definition Classes
    HasReaderProperties
  120. def setDefault[T](feature: StructFeature[T], value: () ⇒ T): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  121. def setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  122. def setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  123. def setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  124. final def setDefault(paramPairs: ParamPair[_]*): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  125. final def setDefault[T](param: Param[T], value: T): PartitionTransformer.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  126. def setExtractCoordinates(value: Boolean): PartitionTransformer.this.type

    Definition Classes
    HasPdfProperties
  127. def setGroupBrokenParagraphs(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasTextReaderProperties
  128. def setHeaders(value: Map[String, String]): PartitionTransformer.this.type
    Definition Classes
    HasHTMLReaderProperties
  129. def setHeadersPython(headers: Map[String, String]): PartitionTransformer.this.type
    Definition Classes
    HasHTMLReaderProperties
  130. def setIncludePageBreaks(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasReaderProperties
  131. def setIncludeSlideNotes(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasPowerPointProperties
  132. def setIncludeTitleTag(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasHTMLReaderProperties
  133. def setInferTableStructure(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasReaderProperties
  134. def setInputCols(value: Array[String]): PartitionTransformer.this.type

    Overrides required annotators column if different than default

    Overrides required annotators column if different than default

    Definition Classes
    PartitionTransformer → HasInputAnnotationCols
  135. final def setInputCols(value: String*): PartitionTransformer.this.type
    Definition Classes
    HasInputAnnotationCols
  136. def setLazyAnnotator(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    CanBeLazy
  137. def setMaxCharacters(value: Int): PartitionTransformer.this.type
    Definition Classes
    HasChunkerProperties
  138. def setMaxLineCount(value: Int): PartitionTransformer.this.type
    Definition Classes
    HasTextReaderProperties
  139. def setNewAfterNChars(value: Int): PartitionTransformer.this.type
    Definition Classes
    HasChunkerProperties
  140. def setNormalizeLigatures(value: Boolean): PartitionTransformer.this.type

    Definition Classes
    HasPdfProperties
  141. def setOnlyLeafNodes(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasXmlReaderProperties
  142. def setOnlyPageNum(value: Boolean): PartitionTransformer.this.type

    Definition Classes
    HasPdfProperties
  143. def setOriginCol(value: String): PartitionTransformer.this.type

    Definition Classes
    HasPdfProperties
  144. final def setOutputCol(value: String): PartitionTransformer.this.type

    Overrides annotation column name when transforming

    Overrides annotation column name when transforming

    Definition Classes
    HasOutputAnnotationCol
  145. def setOverlap(value: Int): PartitionTransformer.this.type
    Definition Classes
    HasChunkerProperties
  146. def setOverlapAll(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasChunkerProperties
  147. def setPageNumCol(value: String): PartitionTransformer.this.type

    Definition Classes
    HasPdfProperties
  148. def setParagraphSplit(value: String): PartitionTransformer.this.type
    Definition Classes
    HasTextReaderProperties
  149. def setParent(parent: Estimator[PartitionTransformer]): PartitionTransformer
    Definition Classes
    Model
  150. def setPartitionNum(value: Int): PartitionTransformer.this.type

    Definition Classes
    HasPdfProperties
  151. def setShortLineWordThreshold(value: Int): PartitionTransformer.this.type
    Definition Classes
    HasTextReaderProperties
  152. def setSort(value: Boolean): PartitionTransformer.this.type

    Definition Classes
    HasPdfProperties
  153. def setSplitPage(value: Boolean): PartitionTransformer.this.type

    Definition Classes
    HasPdfProperties
  154. def setStoreContent(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasReaderProperties
  155. def setStoreSplittedPdf(value: Boolean): PartitionTransformer.this.type

    Definition Classes
    HasPdfProperties
  156. def setTextStripper(value: String): PartitionTransformer.this.type

    Definition Classes
    HasPdfProperties
  157. def setThreshold(value: Double): PartitionTransformer.this.type
    Definition Classes
    HasTextReaderProperties
  158. def setTimeout(value: Int): PartitionTransformer.this.type
    Definition Classes
    HasHTMLReaderProperties
  159. def setTitleFontSize(value: Int): PartitionTransformer.this.type
    Definition Classes
    HasReaderProperties
  160. def setTitleLengthSize(value: Int): PartitionTransformer.this.type
    Definition Classes
    HasTextReaderProperties
  161. def setXmlKeepTags(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasXmlReaderProperties
  162. val shortLineWordThreshold: Param[Int]
    Definition Classes
    HasTextReaderProperties
  163. final val sort: BooleanParam
    Definition Classes
    HasPdfProperties
  164. final val splitPage: BooleanParam
    Definition Classes
    HasPdfProperties
  165. val storeContent: Param[Boolean]
    Definition Classes
    HasReaderProperties
  166. final val storeSplittedPdf: BooleanParam
    Definition Classes
    HasPdfProperties
  167. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  168. final val textStripper: Param[String]
    Definition Classes
    HasPdfProperties
  169. val threshold: Param[Double]
    Definition Classes
    HasTextReaderProperties
  170. val timeout: Param[Int]
    Definition Classes
    HasHTMLReaderProperties
  171. val titleFontSize: Param[Int]
    Definition Classes
    HasReaderProperties
  172. val titleLengthSize: Param[Int]
    Definition Classes
    HasTextReaderProperties
  173. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  174. final def transform(dataset: Dataset[_]): DataFrame

    Given requirements are met, this applies ML transformation within a Pipeline or stand-alone Output annotation will be generated as a new column, previous annotations are still available separately metadata is built at schema level to record annotations structural information outside its content

    Given requirements are met, this applies ML transformation within a Pipeline or stand-alone Output annotation will be generated as a new column, previous annotations are still available separately metadata is built at schema level to record annotations structural information outside its content

    dataset

    Dataset[Row]

    Definition Classes
    AnnotatorModel → Transformer
  175. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  176. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  177. final def transformSchema(schema: StructType): StructType

    requirement for pipeline transformation validation.

    requirement for pipeline transformation validation. It is called on fit()

    Definition Classes
    RawAnnotator → PipelineStage
  178. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  179. val uid: String
    Definition Classes
    PartitionTransformer → Identifiable
  180. def validate(schema: StructType): Boolean

    takes a Dataset and checks to see if all the required annotation types are present.

    takes a Dataset and checks to see if all the required annotation types are present.

    schema

    to be validated

    returns

    True if all the required types are present, else false

    Attributes
    protected
    Definition Classes
    RawAnnotator
  181. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  182. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  183. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  184. def wrapColumnMetadata(col: Column): Column
    Attributes
    protected
    Definition Classes
    RawAnnotator
  185. def write: MLWriter
    Definition Classes
    ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable
  186. val xmlKeepTags: Param[Boolean]
    Definition Classes
    HasXmlReaderProperties

Inherited from HasChunkerProperties

Inherited from HasXmlReaderProperties

Inherited from HasPdfProperties

Inherited from HasTextReaderProperties

Inherited from HasPowerPointProperties

Inherited from HasHTMLReaderProperties

Inherited from HasExcelReaderProperties

Inherited from HasEmailReaderProperties

Inherited from HasReaderProperties

Inherited from HasSimpleAnnotate[PartitionTransformer]

Inherited from AnnotatorModel[PartitionTransformer]

Inherited from CanBeLazy

Inherited from RawAnnotator[PartitionTransformer]

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from HasOutputAnnotatorType

Inherited from ParamsAndFeaturesWritable

Inherited from HasFeatures

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Model[PartitionTransformer]

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

setParam

Ungrouped