org.apache.spark.ml.tuning

CrossValidatorModel

class CrossValidatorModel extends Model[CrossValidatorModel] with CrossValidatorParams

:: AlphaComponent :: Model from k-fold cross validation.

Annotations
@AlphaComponent()
Linear Supertypes
CrossValidatorParams, Model[CrossValidatorModel], Transformer, Params, Identifiable, PipelineStage, Logging, Serializable, Serializable, AnyRef, Any
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  1. CrossValidatorModel
  2. CrossValidatorParams
  3. Model
  4. Transformer
  5. Params
  6. Identifiable
  7. PipelineStage
  8. Logging
  9. Serializable
  10. Serializable
  11. AnyRef
  12. 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. val bestModel: Model[_]

  9. 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

  10. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  13. val estimator: Param[Estimator[_]]

    param for the estimator to be cross-validated

    param for the estimator to be cross-validated

    Definition Classes
    CrossValidatorParams

  14. val estimatorParamMaps: Param[Array[ParamMap]]

    param for estimator param maps

    param for estimator param maps

    Definition Classes
    CrossValidatorParams

  15. val evaluator: Param[Evaluator]

    param for the evaluator for selection

    param for the evaluator for selection

    Definition Classes
    CrossValidatorParams

  16. def explainParams(): String

    Returns the documentation of all params.

    Returns the documentation of all params.

    Definition Classes
    Params

  17. def finalize(): Unit

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

  18. val fittingParamMap: ParamMap

    Fitting parameters, such that parent.

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

    Definition Classes
    CrossValidatorModel → Model

  19. 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

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

    Definition Classes
    AnyRef → Any

  21. def getEstimator: Estimator[_]

    Definition Classes
    CrossValidatorParams

  22. def getEstimatorParamMaps: Array[ParamMap]

    Definition Classes
    CrossValidatorParams

  23. def getEvaluator: Evaluator

    Definition Classes
    CrossValidatorParams

  24. def getNumFolds: Int

    Definition Classes
    CrossValidatorParams

  25. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  26. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Checks whether a param is explicitly set.

    Checks whether a param is explicitly set.

    Definition Classes
    Params

  28. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  29. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  36. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Definition Classes
    AnyRef

  42. final def notify(): Unit

    Definition Classes
    AnyRef

  43. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  44. val numFolds: IntParam

    param for number of folds for cross validation

    param for number of folds for cross validation

    Definition Classes
    CrossValidatorParams

  45. val paramMap: ParamMap

    Internal param map.

    Internal param map.

    Attributes
    protected
    Definition Classes
    Params

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

    Returns all params.

    Returns all params.

    Definition Classes
    Params

  47. val parent: CrossValidator

    The parent estimator that produced this model.

    The parent estimator that produced this model.

    Definition Classes
    CrossValidatorModel → Model

  48. def set[T](param: Param[T], value: T): CrossValidatorModel.this.type

    Sets a parameter in the embedded param map.

    Sets a parameter in the embedded param map.

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    AnyRef

  50. def toString(): String

    Definition Classes
    AnyRef → Any

  51. 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
    CrossValidatorModel → Transformer

  52. 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()

  53. 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
    CrossValidatorModel → PipelineStage

  54. 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

  55. 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

  56. 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

  57. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from CrossValidatorParams

Inherited from Model[CrossValidatorModel]

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

Parameters

A list of (hyper-)parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters, respectively.

Members

Parameter getters