class PartitionTransformer extends AnnotatorModel[PartitionTransformer] with HasSimpleAnnotate[PartitionTransformer] with HasReaderProperties with HasEmailReaderProperties with HasExcelReaderProperties with HasHTMLReaderProperties with HasPowerPointProperties with HasTextReaderProperties with HasPdfToTextProperties 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...| +--------------------+--------------------+--------------------+
- Grouped
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- By Inheritance
- PartitionTransformer
- HasChunkerProperties
- HasXmlReaderProperties
- HasPdfToTextProperties
- HasTextReaderProperties
- HasPowerPointProperties
- HasHTMLReaderProperties
- HasExcelReaderProperties
- HasEmailReaderProperties
- HasReaderProperties
- HasSimpleAnnotate
- AnnotatorModel
- CanBeLazy
- RawAnnotator
- HasOutputAnnotationCol
- HasInputAnnotationCols
- HasOutputAnnotatorType
- ParamsAndFeaturesWritable
- HasFeatures
- DefaultParamsWritable
- MLWritable
- Model
- Transformer
- PipelineStage
- Logging
- Params
- Serializable
- Identifiable
- AnyRef
- Any
- Hide All
- Show All
- Public
- Protected
Type Members
- 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
- type AnnotatorType = String
- Definition Classes
- HasOutputAnnotatorType
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
- Definition Classes
- AnyRef → Any
- final def $[T](param: Param[T]): T
- Attributes
- protected
- Definition Classes
- Params
- def $$[T](feature: StructFeature[T]): T
- Attributes
- protected
- Definition Classes
- HasFeatures
- def $$[K, V](feature: MapFeature[K, V]): Map[K, V]
- Attributes
- protected
- Definition Classes
- HasFeatures
- def $$[T](feature: SetFeature[T]): Set[T]
- Attributes
- protected
- Definition Classes
- HasFeatures
- def $$[T](feature: ArrayFeature[T]): Array[T]
- Attributes
- protected
- Definition Classes
- HasFeatures
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- def _transform(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): DataFrame
- Definition Classes
- PartitionTransformer → AnnotatorModel
- val addAttachmentContent: Param[Boolean]
- Definition Classes
- HasEmailReaderProperties
- def afterAnnotate(dataset: DataFrame): DataFrame
- Attributes
- protected
- Definition Classes
- AnnotatorModel
- 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
- val appendCells: Param[Boolean]
- Definition Classes
- HasExcelReaderProperties
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- def beforeAnnotate(dataset: Dataset[_]): Dataset[_]
- Attributes
- protected
- Definition Classes
- AnnotatorModel
- val cellSeparator: Param[String]
- Definition Classes
- HasExcelReaderProperties
- final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean
- Attributes
- protected
- Definition Classes
- HasInputAnnotationCols
- val chunkingStrategy: Param[String]
- Definition Classes
- HasChunkerProperties
- final def clear(param: Param[_]): PartitionTransformer.this.type
- Definition Classes
- Params
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @HotSpotIntrinsicCandidate() @native()
- val combineTextUnderNChars: Param[Int]
- Definition Classes
- HasChunkerProperties
- val contentPath: Param[String]
- Definition Classes
- HasReaderProperties
- val contentType: Param[String]
- Definition Classes
- HasReaderProperties
- def copy(extra: ParamMap): PartitionTransformer
requirement for annotators copies
requirement for annotators copies
- Definition Classes
- RawAnnotator → Model → Transformer → PipelineStage → Params
- def copyValues[T <: Params](to: T, extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
- final def defaultCopy[T <: Params](extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
- 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
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def equals(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef → Any
- def explainParam(param: Param[_]): String
- Definition Classes
- Params
- def explainParams(): String
- Definition Classes
- Params
- val explodeDocs: BooleanParam
- Definition Classes
- HasReaderProperties
- def extraValidate(structType: StructType): Boolean
- Attributes
- protected
- Definition Classes
- RawAnnotator
- def extraValidateMsg: String
Override for additional custom schema checks
Override for additional custom schema checks
- Attributes
- protected
- Definition Classes
- RawAnnotator
- final val extractCoordinates: BooleanParam
- Definition Classes
- HasPdfToTextProperties
- final def extractParamMap(): ParamMap
- Definition Classes
- Params
- final def extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
- Params
- val features: ArrayBuffer[Feature[_, _, _]]
- Definition Classes
- HasFeatures
- val flattenOutput: BooleanParam
- Definition Classes
- HasReaderProperties
- def get[T](feature: StructFeature[T]): Option[T]
- Attributes
- protected
- Definition Classes
- HasFeatures
- def get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]
- Attributes
- protected
- Definition Classes
- HasFeatures
- def get[T](feature: SetFeature[T]): Option[Set[T]]
- Attributes
- protected
- Definition Classes
- HasFeatures
- def get[T](feature: ArrayFeature[T]): Option[Array[T]]
- Attributes
- protected
- Definition Classes
- HasFeatures
- final def get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @HotSpotIntrinsicCandidate() @native()
- final def getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
- final def getInputCol: String
- Definition Classes
- HasReaderProperties
- def getInputCols: Array[String]
- returns
input annotations columns currently used
- Definition Classes
- HasInputAnnotationCols
- def getLazyAnnotator: Boolean
- Definition Classes
- CanBeLazy
- final def getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
- final def getOutputCol: String
Gets annotation column name going to generate
Gets annotation column name going to generate
- Definition Classes
- HasOutputAnnotationCol
- def getParam(paramName: String): Param[Any]
- Definition Classes
- Params
- val groupBrokenParagraphs: Param[Boolean]
- Definition Classes
- HasTextReaderProperties
- final def hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
- def hasParam(paramName: String): Boolean
- Definition Classes
- Params
- def hasParent: Boolean
- Definition Classes
- Model
- def hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @HotSpotIntrinsicCandidate() @native()
- val headers: Param[Map[String, String]]
- Definition Classes
- HasHTMLReaderProperties
- val ignoreExceptions: BooleanParam
- Definition Classes
- HasReaderProperties
- val includePageBreaks: Param[Boolean]
- Definition Classes
- HasReaderProperties
- val includeSlideNotes: Param[Boolean]
- Definition Classes
- HasPowerPointProperties
- val includeTitleTag: Param[Boolean]
- Definition Classes
- HasHTMLReaderProperties
- val inferTableStructure: Param[Boolean]
- Definition Classes
- HasReaderProperties
- def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
- Attributes
- protected
- Definition Classes
- Logging
- def initializeLogIfNecessary(isInterpreter: Boolean): Unit
- Attributes
- protected
- Definition Classes
- Logging
- 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
- final val inputCol: Param[String]
- Attributes
- protected
- Definition Classes
- HasReaderProperties
- 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
- final def isDefined(param: Param[_]): Boolean
- Definition Classes
- Params
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- final def isSet(param: Param[_]): Boolean
- Definition Classes
- Params
- def isTraceEnabled(): Boolean
- Attributes
- protected
- Definition Classes
- Logging
- val lazyAnnotator: BooleanParam
- Definition Classes
- CanBeLazy
- def log: Logger
- Attributes
- protected
- Definition Classes
- Logging
- def logDebug(msg: => String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
- def logDebug(msg: => String): Unit
- Attributes
- protected
- Definition Classes
- Logging
- def logError(msg: => String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
- def logError(msg: => String): Unit
- Attributes
- protected
- Definition Classes
- Logging
- def logInfo(msg: => String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
- def logInfo(msg: => String): Unit
- Attributes
- protected
- Definition Classes
- Logging
- def logName: String
- Attributes
- protected
- Definition Classes
- Logging
- def logTrace(msg: => String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
- def logTrace(msg: => String): Unit
- Attributes
- protected
- Definition Classes
- Logging
- def logWarning(msg: => String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
- def logWarning(msg: => String): Unit
- Attributes
- protected
- Definition Classes
- Logging
- val logger: Logger
- Attributes
- protected
- val maxCharacters: Param[Int]
- Definition Classes
- HasChunkerProperties
- val maxLineCount: Param[Int]
- Definition Classes
- HasTextReaderProperties
- def msgHelper(schema: StructType): String
- Attributes
- protected
- Definition Classes
- HasInputAnnotationCols
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- val newAfterNChars: Param[Int]
- Definition Classes
- HasChunkerProperties
- final val normalizeLigatures: BooleanParam
- Definition Classes
- HasPdfToTextProperties
- final def notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @HotSpotIntrinsicCandidate() @native()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @HotSpotIntrinsicCandidate() @native()
- def onWrite(path: String, spark: SparkSession): Unit
- Attributes
- protected
- Definition Classes
- ParamsAndFeaturesWritable
- val onlyLeafNodes: Param[Boolean]
- Definition Classes
- HasXmlReaderProperties
- final val onlyPageNum: BooleanParam
- Definition Classes
- HasPdfToTextProperties
- val optionalInputAnnotatorTypes: Array[String]
- Definition Classes
- HasInputAnnotationCols
- final val originCol: Param[String]
- Definition Classes
- HasPdfToTextProperties
- val outputAnnotatorType: AnnotatorType
- Definition Classes
- PartitionTransformer → HasOutputAnnotatorType
- final val outputCol: Param[String]
- Attributes
- protected
- Definition Classes
- HasOutputAnnotationCol
- val outputFormat: Param[String]
- Definition Classes
- HasHTMLReaderProperties
- val overlap: Param[Int]
- Definition Classes
- HasChunkerProperties
- val overlapAll: Param[Boolean]
- Definition Classes
- HasChunkerProperties
- final val pageNumCol: Param[String]
- Definition Classes
- HasPdfToTextProperties
- val paragraphSplit: Param[String]
- Definition Classes
- HasTextReaderProperties
- lazy val params: Array[Param[_]]
- Definition Classes
- Params
- var parent: Estimator[PartitionTransformer]
- Definition Classes
- Model
- final val partitionNum: IntParam
- Definition Classes
- HasPdfToTextProperties
- def save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @throws("If the input path already exists but overwrite is not enabled.") @Since("1.6.0")
- def set[T](feature: StructFeature[T], value: T): PartitionTransformer.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
- def set[K, V](feature: MapFeature[K, V], value: Map[K, V]): PartitionTransformer.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
- def set[T](feature: SetFeature[T], value: Set[T]): PartitionTransformer.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
- def set[T](feature: ArrayFeature[T], value: Array[T]): PartitionTransformer.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
- final def set(paramPair: ParamPair[_]): PartitionTransformer.this.type
- Attributes
- protected
- Definition Classes
- Params
- final def set(param: String, value: Any): PartitionTransformer.this.type
- Attributes
- protected
- Definition Classes
- Params
- final def set[T](param: Param[T], value: T): PartitionTransformer.this.type
- Definition Classes
- Params
- def setAddAttachmentContent(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasEmailReaderProperties
- def setAppendCells(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasExcelReaderProperties
- def setCellSeparator(value: String): PartitionTransformer.this.type
- Definition Classes
- HasExcelReaderProperties
- def setChunkingStrategy(value: String): PartitionTransformer.this.type
- Definition Classes
- HasChunkerProperties
- def setComBineTextUnderNChars(value: Int): PartitionTransformer.this.type
- Definition Classes
- HasChunkerProperties
- def setContentPath(value: String): PartitionTransformer.this.type
- Definition Classes
- HasReaderProperties
- def setContentType(value: String): PartitionTransformer.this.type
- Definition Classes
- HasReaderProperties
- def setDefault[T](feature: StructFeature[T], value: () => T): PartitionTransformer.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
- def setDefault[K, V](feature: MapFeature[K, V], value: () => Map[K, V]): PartitionTransformer.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
- def setDefault[T](feature: SetFeature[T], value: () => Set[T]): PartitionTransformer.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
- def setDefault[T](feature: ArrayFeature[T], value: () => Array[T]): PartitionTransformer.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
- final def setDefault(paramPairs: ParamPair[_]*): PartitionTransformer.this.type
- Attributes
- protected
- Definition Classes
- Params
- final def setDefault[T](param: Param[T], value: T): PartitionTransformer.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
- def setExplodeDocs(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasReaderProperties
- def setExtractCoordinates(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasPdfToTextProperties
- def setFlattenOutput(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasReaderProperties
- def setGroupBrokenParagraphs(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasTextReaderProperties
- def setHeaders(value: Map[String, String]): PartitionTransformer.this.type
- Definition Classes
- HasHTMLReaderProperties
- def setHeadersPython(headers: Map[String, String]): PartitionTransformer.this.type
- Definition Classes
- HasHTMLReaderProperties
- def setIgnoreExceptions(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasReaderProperties
- def setIncludePageBreaks(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasReaderProperties
- def setIncludeSlideNotes(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasPowerPointProperties
- def setIncludeTitleTag(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasHTMLReaderProperties
- def setInferTableStructure(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasReaderProperties
- final def setInputCol(value: String): PartitionTransformer.this.type
- Definition Classes
- HasReaderProperties
- 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
- final def setInputCols(value: String*): PartitionTransformer.this.type
- Definition Classes
- HasInputAnnotationCols
- def setLazyAnnotator(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- CanBeLazy
- def setMaxCharacters(value: Int): PartitionTransformer.this.type
- Definition Classes
- HasChunkerProperties
- def setMaxLineCount(value: Int): PartitionTransformer.this.type
- Definition Classes
- HasTextReaderProperties
- def setNewAfterNChars(value: Int): PartitionTransformer.this.type
- Definition Classes
- HasChunkerProperties
- def setNormalizeLigatures(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasPdfToTextProperties
- def setOnlyLeafNodes(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasXmlReaderProperties
- def setOnlyPageNum(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasPdfToTextProperties
- def setOriginCol(value: String): PartitionTransformer.this.type
- Definition Classes
- HasPdfToTextProperties
- final def setOutputCol(value: String): PartitionTransformer.this.type
Overrides annotation column name when transforming
Overrides annotation column name when transforming
- Definition Classes
- HasOutputAnnotationCol
- def setOutputFormat(value: String): PartitionTransformer.this.type
- Definition Classes
- HasHTMLReaderProperties
- def setOverlap(value: Int): PartitionTransformer.this.type
- Definition Classes
- HasChunkerProperties
- def setOverlapAll(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasChunkerProperties
- def setPageNumCol(value: String): PartitionTransformer.this.type
- Definition Classes
- HasPdfToTextProperties
- def setParagraphSplit(value: String): PartitionTransformer.this.type
- Definition Classes
- HasTextReaderProperties
- def setParent(parent: Estimator[PartitionTransformer]): PartitionTransformer
- Definition Classes
- Model
- def setPartitionNum(value: Int): PartitionTransformer.this.type
- Definition Classes
- HasPdfToTextProperties
- def setShortLineWordThreshold(value: Int): PartitionTransformer.this.type
- Definition Classes
- HasTextReaderProperties
- def setSort(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasPdfToTextProperties
- def setSplitPage(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasPdfToTextProperties
- def setStoreContent(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasReaderProperties
- def setStoreSplittedPdf(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasPdfToTextProperties
- def setTextStripper(value: String): PartitionTransformer.this.type
- Definition Classes
- HasPdfToTextProperties
- def setThreshold(value: Double): PartitionTransformer.this.type
- Definition Classes
- HasTextReaderProperties
- def setTimeout(value: Int): PartitionTransformer.this.type
- Definition Classes
- HasHTMLReaderProperties
- def setTitleFontSize(value: Int): PartitionTransformer.this.type
- Definition Classes
- HasReaderProperties
- def setTitleLengthSize(value: Int): PartitionTransformer.this.type
- Definition Classes
- HasTextReaderProperties
- def setXmlKeepTags(value: Boolean): PartitionTransformer.this.type
- Definition Classes
- HasXmlReaderProperties
- val shortLineWordThreshold: Param[Int]
- Definition Classes
- HasTextReaderProperties
- final val sort: BooleanParam
- Definition Classes
- HasPdfToTextProperties
- final val splitPage: BooleanParam
- Definition Classes
- HasPdfToTextProperties
- val storeContent: Param[Boolean]
- Definition Classes
- HasReaderProperties
- final val storeSplittedPdf: BooleanParam
- Definition Classes
- HasPdfToTextProperties
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- final val textStripper: Param[String]
- Definition Classes
- HasPdfToTextProperties
- val threshold: Param[Double]
- Definition Classes
- HasTextReaderProperties
- val timeout: Param[Int]
- Definition Classes
- HasHTMLReaderProperties
- val titleFontSize: Param[Int]
- Definition Classes
- HasReaderProperties
- val titleLengthSize: Param[Int]
- Definition Classes
- HasTextReaderProperties
- def toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
- 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
- def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since("2.0.0")
- def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
- Definition Classes
- Transformer
- Annotations
- @varargs() @Since("2.0.0")
- 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
- def transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
- val uid: String
- Definition Classes
- PartitionTransformer → Identifiable
- 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
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- def wrapColumnMetadata(col: Column): Column
- Attributes
- protected
- Definition Classes
- RawAnnotator
- def write: MLWriter
- Definition Classes
- ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable
- val xmlKeepTags: Param[Boolean]
- Definition Classes
- HasXmlReaderProperties
Deprecated Value Members
- def finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated
(Since version 9)