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. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  7. val bestModel: Model[_]

  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  10. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  11. val estimator: Param[Estimator[_]]

    param for the estimator to be cross-validated

    param for the estimator to be cross-validated

    Definition Classes
    CrossValidatorParams
  12. val estimatorParamMaps: Param[Array[ParamMap]]

    param for estimator param maps

    param for estimator param maps

    Definition Classes
    CrossValidatorParams
  13. val evaluator: Param[Evaluator]

    param for the evaluator for selection

    param for the evaluator for selection

    Definition Classes
    CrossValidatorParams
  14. def explainParams(): String

    Returns the documentation of all params.

    Returns the documentation of all params.

    Definition Classes
    Params
  15. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  16. val fittingParamMap: ParamMap

    Fitting parameters, such that parent.

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

    Definition Classes
    CrossValidatorModelModel
  17. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  18. def getEstimator: Estimator[_]

    Definition Classes
    CrossValidatorParams
  19. def getEstimatorParamMaps: Array[ParamMap]

    Definition Classes
    CrossValidatorParams
  20. def getEvaluator: Evaluator

    Definition Classes
    CrossValidatorParams
  21. def getNumFolds: Int

    Definition Classes
    CrossValidatorParams
  22. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  23. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  24. def isSet(param: Param[_]): Boolean

    Checks whether a param is explicitly set.

    Checks whether a param is explicitly set.

    Definition Classes
    Params
  25. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging
  26. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging
  27. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  28. def logDebug(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  29. def logError(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  30. def logError(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  31. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  32. def logInfo(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  33. def logName: String

    Attributes
    protected
    Definition Classes
    Logging
  34. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  35. def logTrace(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  36. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  37. def logWarning(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  38. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  39. final def notify(): Unit

    Definition Classes
    AnyRef
  40. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  41. val numFolds: IntParam

    param for number of folds for cross validation

    param for number of folds for cross validation

    Definition Classes
    CrossValidatorParams
  42. val paramMap: ParamMap

    Internal param map.

    Internal param map.

    Attributes
    protected
    Definition Classes
    Params
  43. def params: Array[Param[_]]

    Returns all params.

    Returns all params.

    Definition Classes
    Params
  44. val parent: CrossValidator

    The parent estimator that produced this model.

    The parent estimator that produced this model.

    Definition Classes
    CrossValidatorModelModel
  45. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  46. def toString(): String

    Definition Classes
    AnyRef → Any
  47. def transform(dataset: SchemaRDD, paramMap: ParamMap): SchemaRDD

    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
    CrossValidatorModelTransformer
  48. def transform(dataset: JavaSchemaRDD, paramMap: ParamMap): JavaSchemaRDD

    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
    Transformer
  49. def transform(dataset: JavaSchemaRDD, paramPairs: ParamPair[_]*): JavaSchemaRDD

    Transforms the dataset with optional parameters.

    Transforms the dataset with optional parameters.

    dataset

    input datset

    paramPairs

    optional list of param pairs, overwrite embedded params

    returns

    transformed dataset

    Definition Classes
    Transformer
    Annotations
    @varargs()
  50. def transform(dataset: SchemaRDD, paramPairs: ParamPair[_]*): SchemaRDD

    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()
  51. 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
  52. 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
  53. 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
  54. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  55. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  56. 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

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