Class/Object

org.apache.spark.ml.tuning

ForwardChainingCrossValidator

Related Docs: object ForwardChainingCrossValidator | package tuning

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class ForwardChainingCrossValidator extends Estimator[ForwardChainingCrossValidatorModel] with MLBase with CrossValidatorParams with MLWritable with Logging

Linear Supertypes
MLWritable, CrossValidatorParams, ValidatorParams, HasSeed, MLBase, Estimator[ForwardChainingCrossValidatorModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ForwardChainingCrossValidator
  2. MLWritable
  3. CrossValidatorParams
  4. ValidatorParams
  5. HasSeed
  6. MLBase
  7. Estimator
  8. PipelineStage
  9. Logging
  10. Params
  11. Serializable
  12. Serializable
  13. Identifiable
  14. AnyRef
  15. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ForwardChainingCrossValidator()

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    Annotations
    @Since( "1.2.0" )

  2. new ForwardChainingCrossValidator(uid: String)

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Type Members

  1. case class EvaluatorWrapper[Q](metric: Q, evaluator: Evaluator) extends Product with Serializable

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    Definition Classes
    MLBase

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. val classificationEvaluators: Seq[EvaluatorWrapper[incal.spark_ml.models.classification.ClassificationEvalMetric.Value]]

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    Attributes
    protected
    Definition Classes
    MLBase

  7. final def clear(param: Param[_]): ForwardChainingCrossValidator.this.type

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    Definition Classes
    Params

  8. def clone(): AnyRef

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

  9. def copy(extra: ParamMap): ForwardChainingCrossValidator

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    Definition Classes
    ForwardChainingCrossValidator → Estimator → PipelineStage → Params
    Annotations
    @Since( "1.4.0" )

  10. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  11. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    ValidatorParams

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

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    Definition Classes
    ValidatorParams

  16. val evaluator: Param[Evaluator]

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    Definition Classes
    ValidatorParams

  17. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  18. def explainParams(): String

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    Definition Classes
    Params

  19. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

  20. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params

  21. def finalize(): Unit

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

  22. def fit(dataset: Dataset[_]): ForwardChainingCrossValidatorModel

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    Definition Classes
    ForwardChainingCrossValidator → Estimator
    Annotations
    @Since( "2.0.0" )

  23. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[ForwardChainingCrossValidatorModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  24. def fit(dataset: Dataset[_], paramMap: ParamMap): ForwardChainingCrossValidatorModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  25. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): ForwardChainingCrossValidatorModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()

  26. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

  28. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  29. def getEstimator: Estimator[_]

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    Definition Classes
    ValidatorParams

  30. def getEstimatorParamMaps: Array[ParamMap]

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    Definition Classes
    ValidatorParams

  31. def getEvaluator: Evaluator

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    Definition Classes
    ValidatorParams

  32. def getNumFolds: Int

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    Definition Classes
    CrossValidatorParams

  33. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params

  34. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params

  35. final def getSeed: Long

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    Definition Classes
    HasSeed

  36. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params

  37. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  38. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  39. val independentTestPredictions: (Transformer, Dataset[_], Dataset[_]) ⇒ DataFrame

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    Attributes
    protected
    Definition Classes
    MLBase

  40. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  41. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params

  42. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  44. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  45. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
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    Definition Classes
    Logging

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

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    Attributes
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    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  52. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  55. def logTuningParams(instrumentation: Instrumentation[_]): Unit

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    Attributes
    protected
    Definition Classes
    ValidatorParams

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  58. final val minTrainingSizeRatio: Param[Double]

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    Attributes
    protected

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

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    Definition Classes
    AnyRef

  60. final def notify(): Unit

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    Definition Classes
    AnyRef

  61. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  62. val numFolds: IntParam

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    Definition Classes
    CrossValidatorParams

  63. final val orderCol: Param[String]

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    Attributes
    protected

  64. val orderDependentTestPredictions: (String) ⇒ (Transformer, Dataset[_], Dataset[_]) ⇒ Dataset[Row]

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    Attributes
    protected
    Definition Classes
    MLBase

  65. val orderDependentTestPredictionsWithParams: (String) ⇒ (Transformer, Dataset[_], Dataset[_], ParamMap) ⇒ Dataset[Row]

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    Attributes
    protected
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    MLBase

  66. lazy val params: Array[Param[_]]

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    Definition Classes
    Params

  67. final val predictionsProcessor: Param[(DataFrame) ⇒ DataFrame]

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    Attributes
    protected

  68. val randomSplit: (Double) ⇒ (DataFrame) ⇒ (Dataset[Row], Dataset[Row])

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    Attributes
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    Definition Classes
    MLBase

  69. val regressionEvaluators: Seq[EvaluatorWrapper[incal.spark_ml.models.regression.RegressionEvalMetric.Value]]

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    Attributes
    protected
    Definition Classes
    MLBase

  70. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  71. final val seed: LongParam

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    Definition Classes
    HasSeed

  72. val seqSplit: (String) ⇒ (Double) ⇒ (DataFrame) ⇒ (Dataset[Row], Dataset[Row])

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    Attributes
    protected
    Definition Classes
    MLBase

  73. final def set(paramPair: ParamPair[_]): ForwardChainingCrossValidator.this.type

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    Attributes
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    Params

  74. final def set(param: String, value: Any): ForwardChainingCrossValidator.this.type

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    Attributes
    protected
    Definition Classes
    Params

  75. final def set[T](param: Param[T], value: T): ForwardChainingCrossValidator.this.type

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    Definition Classes
    Params

  76. final def setDefault(paramPairs: ParamPair[_]*): ForwardChainingCrossValidator.this.type

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    Attributes
    protected
    Definition Classes
    Params

  77. final def setDefault[T](param: Param[T], value: T): ForwardChainingCrossValidator.this.type

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    Attributes
    protected
    Definition Classes
    Params

  78. def setEstimator(value: Estimator[_]): ForwardChainingCrossValidator.this.type

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  79. def setEstimatorParamMaps(value: Array[ParamMap]): ForwardChainingCrossValidator.this.type

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  80. def setEvaluator(value: Evaluator): ForwardChainingCrossValidator.this.type

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  81. def setMinTrainingSizeRatio(value: Double): ForwardChainingCrossValidator.this.type

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  82. def setNumFolds(value: Int): ForwardChainingCrossValidator.this.type

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  83. def setOrderCol(value: String): ForwardChainingCrossValidator.this.type

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  84. def setPredictionsProcessor(value: (DataFrame) ⇒ DataFrame): ForwardChainingCrossValidator.this.type

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  85. def setSeed(value: Long): ForwardChainingCrossValidator.this.type

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  86. val splitByValue: (String) ⇒ (Double) ⇒ (DataFrame) ⇒ (Dataset[Row], Dataset[Row])

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    Attributes
    protected
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    MLBase

  87. def splitForward(dataset: Dataset[_]): Array[(Dataset[_], Dataset[_], Dataset[_])]

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    Attributes
    protected

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

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    Definition Classes
    AnyRef

  89. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  90. def transformSchema(schema: StructType): StructType

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    Definition Classes
    ForwardChainingCrossValidator → PipelineStage
    Annotations
    @Since( "1.4.0" )

  91. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  92. def transformSchemaImpl(schema: StructType): StructType

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    Attributes
    protected
    Definition Classes
    ValidatorParams

  93. val uid: String

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    Definition Classes
    ForwardChainingCrossValidator → Identifiable

  94. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  97. def write: MLWriter

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    Definition Classes
    ForwardChainingCrossValidator → MLWritable
    Annotations
    @Since( "1.6.0" )

Inherited from MLWritable

Inherited from CrossValidatorParams

Inherited from ValidatorParams

Inherited from HasSeed

Inherited from MLBase

Inherited from Estimator[ForwardChainingCrossValidatorModel]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped