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

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...|
+--------------------+--------------------+--------------------+
Ordering
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  3. By Inheritance
Inherited
  1. PartitionTransformer
  2. HasPdfProperties
  3. HasTextReaderProperties
  4. HasPowerPointProperties
  5. HasHTMLReaderProperties
  6. HasExcelReaderProperties
  7. HasEmailReaderProperties
  8. HasReaderProperties
  9. HasSimpleAnnotate
  10. AnnotatorModel
  11. CanBeLazy
  12. RawAnnotator
  13. HasOutputAnnotationCol
  14. HasInputAnnotationCols
  15. HasOutputAnnotatorType
  16. ParamsAndFeaturesWritable
  17. HasFeatures
  18. DefaultParamsWritable
  19. MLWritable
  20. Model
  21. Transformer
  22. PipelineStage
  23. Logging
  24. Params
  25. Serializable
  26. Serializable
  27. Identifiable
  28. AnyRef
  29. 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
    PartitionTransformerAnnotatorModel
  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
    PartitionTransformerHasSimpleAnnotate
  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. final def clear(param: Param[_]): PartitionTransformer.this.type
    Definition Classes
    Params
  19. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  20. val contentPath: Param[String]
    Definition Classes
    HasReaderProperties
  21. val contentType: Param[String]
    Definition Classes
    HasReaderProperties
  22. def copy(extra: ParamMap): PartitionTransformer

    requirement for annotators copies

    requirement for annotators copies

    Definition Classes
    RawAnnotator → Model → Transformer → PipelineStage → Params
  23. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  24. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  25. 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
  26. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  27. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  28. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  29. def explainParams(): String
    Definition Classes
    Params
  30. def extraValidate(structType: StructType): Boolean
    Attributes
    protected
    Definition Classes
    RawAnnotator
  31. def extraValidateMsg: String

    Override for additional custom schema checks

    Override for additional custom schema checks

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

    returns

    input annotations columns currently used

    Definition Classes
    HasInputAnnotationCols
  44. def getLazyAnnotator: Boolean
    Definition Classes
    CanBeLazy
  45. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  46. final def getOutputCol: String

    Gets annotation column name going to generate

    Gets annotation column name going to generate

    Definition Classes
    HasOutputAnnotationCol
  47. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  48. val groupBrokenParagraphs: Param[Boolean]
    Definition Classes
    HasTextReaderProperties
  49. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  50. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  51. def hasParent: Boolean
    Definition Classes
    Model
  52. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  53. val headers: Param[Map[String, String]]
    Definition Classes
    HasHTMLReaderProperties
  54. val includePageBreaks: Param[Boolean]
    Definition Classes
    HasReaderProperties
  55. val includeSlideNotes: Param[Boolean]
    Definition Classes
    HasPowerPointProperties
  56. val inferTableStructure: Param[Boolean]
    Definition Classes
    HasReaderProperties
  57. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  58. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  59. 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
    PartitionTransformerHasInputAnnotationCols
  60. 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
  61. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  62. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  63. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  64. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  65. val lazyAnnotator: BooleanParam
    Definition Classes
    CanBeLazy
  66. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  67. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  68. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  69. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  70. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  71. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  72. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  73. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  74. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  75. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  76. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  77. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  78. val logger: Logger
    Attributes
    protected
  79. val maxLineCount: Param[Int]
    Definition Classes
    HasTextReaderProperties
  80. def msgHelper(schema: StructType): String
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  81. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  82. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  83. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  84. def onWrite(path: String, spark: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesWritable
  85. final val onlyPageNum: BooleanParam
    Definition Classes
    HasPdfProperties
  86. val optionalInputAnnotatorTypes: Array[String]
    Definition Classes
    HasInputAnnotationCols
  87. final val originCol: Param[String]
    Definition Classes
    HasPdfProperties
  88. val outputAnnotatorType: AnnotatorType
  89. final val outputCol: Param[String]
    Attributes
    protected
    Definition Classes
    HasOutputAnnotationCol
  90. final val pageNumCol: Param[String]
    Definition Classes
    HasPdfProperties
  91. val paragraphSplit: Param[String]
    Definition Classes
    HasTextReaderProperties
  92. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  93. var parent: Estimator[PartitionTransformer]
    Definition Classes
    Model
  94. final val partitionNum: IntParam
    Definition Classes
    HasPdfProperties
  95. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  96. def set[T](feature: StructFeature[T], value: T): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  97. def set[K, V](feature: MapFeature[K, V], value: Map[K, V]): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  98. def set[T](feature: SetFeature[T], value: Set[T]): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  99. def set[T](feature: ArrayFeature[T], value: Array[T]): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  100. final def set(paramPair: ParamPair[_]): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  101. final def set(param: String, value: Any): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  102. final def set[T](param: Param[T], value: T): PartitionTransformer.this.type
    Definition Classes
    Params
  103. def setAddAttachmentContent(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasEmailReaderProperties
  104. def setAppendCells(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasExcelReaderProperties
  105. def setCellSeparator(value: String): PartitionTransformer.this.type
    Definition Classes
    HasExcelReaderProperties
  106. def setContentPath(value: String): PartitionTransformer.this.type
    Definition Classes
    HasReaderProperties
  107. def setContentType(value: String): PartitionTransformer.this.type
    Definition Classes
    HasReaderProperties
  108. def setDefault[T](feature: StructFeature[T], value: () ⇒ T): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  109. def setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  110. def setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  111. def setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  112. final def setDefault(paramPairs: ParamPair[_]*): PartitionTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  113. final def setDefault[T](param: Param[T], value: T): PartitionTransformer.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  114. def setGroupBrokenParagraphs(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasTextReaderProperties
  115. def setHeaders(value: Map[String, String]): PartitionTransformer.this.type
    Definition Classes
    HasHTMLReaderProperties
  116. def setHeadersPython(headers: Map[String, String]): PartitionTransformer.this.type
    Definition Classes
    HasHTMLReaderProperties
  117. def setIncludePageBreaks(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasReaderProperties
  118. def setIncludeSlideNotes(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasPowerPointProperties
  119. def setInferTableStructure(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    HasReaderProperties
  120. 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
    PartitionTransformerHasInputAnnotationCols
  121. final def setInputCols(value: String*): PartitionTransformer.this.type
    Definition Classes
    HasInputAnnotationCols
  122. def setLazyAnnotator(value: Boolean): PartitionTransformer.this.type
    Definition Classes
    CanBeLazy
  123. def setMaxLineCount(value: Int): PartitionTransformer.this.type
    Definition Classes
    HasTextReaderProperties
  124. def setOnlyPageNum(value: Boolean): PartitionTransformer.this.type

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

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

    Overrides annotation column name when transforming

    Overrides annotation column name when transforming

    Definition Classes
    HasOutputAnnotationCol
  127. def setPageNumCol(value: String): PartitionTransformer.this.type

    Definition Classes
    HasPdfProperties
  128. def setParagraphSplit(value: String): PartitionTransformer.this.type
    Definition Classes
    HasTextReaderProperties
  129. def setParent(parent: Estimator[PartitionTransformer]): PartitionTransformer
    Definition Classes
    Model
  130. def setPartitionNum(value: Int): PartitionTransformer.this.type

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

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

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

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

    Definition Classes
    HasPdfProperties
  137. def setThreshold(value: Double): PartitionTransformer.this.type
    Definition Classes
    HasTextReaderProperties
  138. def setTimeout(value: Int): PartitionTransformer.this.type
    Definition Classes
    HasHTMLReaderProperties
  139. def setTitleFontSize(value: Int): PartitionTransformer.this.type
    Definition Classes
    HasReaderProperties
  140. def setTitleLengthSize(value: Int): PartitionTransformer.this.type
    Definition Classes
    HasTextReaderProperties
  141. val shortLineWordThreshold: Param[Int]
    Definition Classes
    HasTextReaderProperties
  142. final val sort: BooleanParam
    Definition Classes
    HasPdfProperties
  143. final val splitPage: BooleanParam
    Definition Classes
    HasPdfProperties
  144. val storeContent: Param[Boolean]
    Definition Classes
    HasReaderProperties
  145. final val storeSplittedPdf: BooleanParam
    Definition Classes
    HasPdfProperties
  146. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  147. final val textStripper: Param[String]
    Definition Classes
    HasPdfProperties
  148. val threshold: Param[Double]
    Definition Classes
    HasTextReaderProperties
  149. val timeout: Param[Int]
    Definition Classes
    HasHTMLReaderProperties
  150. val titleFontSize: Param[Int]
    Definition Classes
    HasReaderProperties
  151. val titleLengthSize: Param[Int]
    Definition Classes
    HasTextReaderProperties
  152. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  153. 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
  154. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  155. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  156. 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
  157. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  158. val uid: String
    Definition Classes
    PartitionTransformer → Identifiable
  159. 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
  160. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  161. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  162. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  163. def wrapColumnMetadata(col: Column): Column
    Attributes
    protected
    Definition Classes
    RawAnnotator
  164. def write: MLWriter
    Definition Classes
    ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable

Inherited from HasPdfProperties

Inherited from HasTextReaderProperties

Inherited from HasPowerPointProperties

Inherited from HasHTMLReaderProperties

Inherited from HasExcelReaderProperties

Inherited from HasEmailReaderProperties

Inherited from HasReaderProperties

Inherited from CanBeLazy

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