class FormOntologyLearner extends Estimator[FormOntologyTransformer] with SynapseMLLogging with DefaultParamsWritable with HasInputCol with HasOutputCol with Wrappable

Linear Supertypes
Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, HasOutputCol, HasInputCol, DefaultParamsWritable, MLWritable, SynapseMLLogging, Estimator[FormOntologyTransformer], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. FormOntologyLearner
  2. Wrappable
  3. DotnetWrappable
  4. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. HasOutputCol
  8. HasInputCol
  9. DefaultParamsWritable
  10. MLWritable
  11. SynapseMLLogging
  12. Estimator
  13. PipelineStage
  14. Logging
  15. Params
  16. Serializable
  17. Serializable
  18. Identifiable
  19. AnyRef
  20. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

Value Members

  1. final def clear(param: Param[_]): FormOntologyLearner.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): Estimator[FormOntologyTransformer]
    Definition Classes
    FormOntologyLearner → Estimator → PipelineStage → Params
  3. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  4. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  5. def explainParams(): String
    Definition Classes
    Params
  6. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  7. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  8. def fit(dataset: Dataset[_]): FormOntologyTransformer
    Definition Classes
    FormOntologyLearner → Estimator
  9. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[FormOntologyTransformer]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  10. def fit(dataset: Dataset[_], paramMap: ParamMap): FormOntologyTransformer
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  11. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): FormOntologyTransformer
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  12. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  13. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  14. def getInputCol: String

    Definition Classes
    HasInputCol
  15. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  16. def getOutputCol: String

    Definition Classes
    HasOutputCol
  17. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  18. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  19. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  20. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  21. val inputCol: Param[String]

    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  22. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  23. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  24. def logClass(): Unit
    Definition Classes
    SynapseMLLogging
  25. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  26. def logTrain[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  27. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  28. def logVerb[T](verb: String, f: ⇒ T, columns: Int = -1): T
    Definition Classes
    SynapseMLLogging
  29. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  30. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  31. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  32. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  33. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  34. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  35. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  36. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  37. final def set[T](param: Param[T], value: T): FormOntologyLearner.this.type
    Definition Classes
    Params
  38. def setInputCol(value: String): FormOntologyLearner.this.type

    Definition Classes
    HasInputCol
  39. def setOutputCol(value: String): FormOntologyLearner.this.type

    Definition Classes
    HasOutputCol
  40. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  41. def transformSchema(schema: StructType): StructType
    Definition Classes
    FormOntologyLearner → PipelineStage
  42. val uid: String
    Definition Classes
    FormOntologyLearner → SynapseMLLogging → Identifiable
  43. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable