org.apache.spark.ml

PipelineModel

class PipelineModel extends Model[PipelineModel] with Logging

:: AlphaComponent :: Represents a compiled pipeline.

Annotations
@AlphaComponent()
Linear Supertypes
Model[PipelineModel], Transformer, Params, Identifiable, PipelineStage, Logging, Serializable, Serializable, AnyRef, Any
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  1. PipelineModel
  2. Model
  3. Transformer
  4. Params
  5. Identifiable
  6. PipelineStage
  7. Logging
  8. Serializable
  9. Serializable
  10. AnyRef
  11. Any
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  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any

  6. def addOutputColumn(schema: StructType, colName: String, dataType: DataType): StructType

    Attributes
    protected
    Definition Classes
    Params

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. def checkInputColumn(schema: StructType, colName: String, dataType: DataType): Unit

    Check whether the given schema contains an input column.

    Check whether the given schema contains an input column.

    colName

    Parameter name for the input column.

    dataType

    SQL DataType of the input column.

    Attributes
    protected
    Definition Classes
    Params

  9. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  10. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  11. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  12. def explainParams(): String

    Returns the documentation of all params.

    Returns the documentation of all params.

    Definition Classes
    Params

  13. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  14. val fittingParamMap: ParamMap

    Fitting parameters, such that parent.

    Fitting parameters, such that parent.fit(..., fittingParamMap) could reproduce the model.

    Definition Classes
    PipelineModel → Model

  15. def get[T](param: Param[T]): T

    Gets the value of a parameter in the embedded param map.

    Gets the value of a parameter in the embedded param map.

    Attributes
    protected
    Definition Classes
    Params

  16. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any

  17. def getModel[M <: Model[M]](stage: Estimator[M]): M

    Gets the model produced by the input estimator.

    Gets the model produced by the input estimator. Throws an NoSuchElementException is the input estimator does not exist in the pipeline.

  18. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  19. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  20. def isSet(param: Param[_]): Boolean

    Checks whether a param is explicitly set.

    Checks whether a param is explicitly set.

    Definition Classes
    Params

  21. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  22. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

  23. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  24. def logDebug(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  25. def logError(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  26. def logError(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  27. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  28. def logInfo(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  29. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

  30. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  31. def logTrace(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  32. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  33. def logWarning(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  34. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  35. final def notify(): Unit

    Definition Classes
    AnyRef

  36. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  37. val paramMap: ParamMap

    Internal param map.

    Internal param map.

    Attributes
    protected
    Definition Classes
    Params

  38. def params: Array[Param[_]]

    Returns all params.

    Returns all params.

    Definition Classes
    Params

  39. val parent: Pipeline

    The parent estimator that produced this model.

    The parent estimator that produced this model.

    Definition Classes
    PipelineModel → Model

  40. def set[T](param: Param[T], value: T): PipelineModel.this.type

    Sets a parameter in the embedded param map.

    Sets a parameter in the embedded param map.

    Attributes
    protected
    Definition Classes
    Params

  41. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef

  42. def toString(): String

    Definition Classes
    AnyRef → Any

  43. def transform(dataset: DataFrame, paramMap: ParamMap): DataFrame

    Transforms the dataset with provided parameter map as additional parameters.

    Transforms the dataset with provided parameter map as additional parameters.

    dataset

    input dataset

    paramMap

    additional parameters, overwrite embedded params

    returns

    transformed dataset

    Definition Classes
    PipelineModel → Transformer

  44. def transform(dataset: DataFrame, paramPairs: ParamPair[_]*): DataFrame

    Transforms the dataset with optional parameters

    Transforms the dataset with optional parameters

    dataset

    input dataset

    paramPairs

    optional list of param pairs, overwrite embedded params

    returns

    transformed dataset

    Definition Classes
    Transformer
    Annotations
    @varargs()

  45. def transformSchema(schema: StructType, paramMap: ParamMap): StructType

    :: DeveloperApi ::

    :: DeveloperApi ::

    Derives the output schema from the input schema and parameters. The schema describes the columns and types of the data.

    schema

    Input schema to this stage

    paramMap

    Parameters passed to this stage

    returns

    Output schema from this stage

    Definition Classes
    PipelineModel → PipelineStage

  46. def transformSchema(schema: StructType, paramMap: ParamMap, logging: Boolean): StructType

    Derives the output schema from the input schema and parameters, optionally with logging.

    Derives the output schema from the input schema and parameters, optionally with logging.

    Attributes
    protected
    Definition Classes
    PipelineStage

  47. def validate(): Unit

    Validates parameter values stored internally.

    Validates parameter values stored internally. Raise an exception if any parameter value is invalid.

    Definition Classes
    Params

  48. def validate(paramMap: ParamMap): Unit

    Validates parameter values stored internally plus the input parameter map.

    Validates parameter values stored internally plus the input parameter map. Raises an exception if any parameter is invalid.

    Definition Classes
    Params

  49. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  50. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  51. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Model[PipelineModel]

Inherited from Transformer

Inherited from Params

Inherited from Identifiable

Inherited from PipelineStage

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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