class RankingTrainValidationSplit extends Estimator[RankingTrainValidationSplitModel] with RankingTrainValidationSplitParams with Wrappable with ComplexParamsWritable with RecommendationParams with BasicLogging

Linear Supertypes
BasicLogging, RecommendationParams, ALSParams, HasCheckpointInterval, HasRegParam, HasMaxIter, ALSModelParams, HasBlockSize, HasPredictionCol, ComplexParamsWritable, MLWritable, RankingTrainValidationSplitParams, HasSeed, Wrappable, RWrappable, PythonWrappable, BaseWrappable, Estimator[RankingTrainValidationSplitModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. RankingTrainValidationSplit
  2. BasicLogging
  3. RecommendationParams
  4. ALSParams
  5. HasCheckpointInterval
  6. HasRegParam
  7. HasMaxIter
  8. ALSModelParams
  9. HasBlockSize
  10. HasPredictionCol
  11. ComplexParamsWritable
  12. MLWritable
  13. RankingTrainValidationSplitParams
  14. HasSeed
  15. Wrappable
  16. RWrappable
  17. PythonWrappable
  18. BaseWrappable
  19. Estimator
  20. PipelineStage
  21. Logging
  22. Params
  23. Serializable
  24. Serializable
  25. Identifiable
  26. AnyRef
  27. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

Value Members

  1. val alpha: DoubleParam
    Definition Classes
    ALSParams
  2. final val blockSize: IntParam
    Definition Classes
    HasBlockSize
  3. final val checkpointInterval: IntParam
    Definition Classes
    HasCheckpointInterval
  4. final def clear(param: Param[_]): RankingTrainValidationSplit.this.type
    Definition Classes
    Params
  5. val coldStartStrategy: Param[String]
    Definition Classes
    ALSModelParams
  6. def copy(extra: ParamMap): RankingTrainValidationSplit
    Definition Classes
    RankingTrainValidationSplit → Estimator → PipelineStage → Params
  7. val estimator: EstimatorParam
    Definition Classes
    RankingTrainValidationSplitParams
  8. val estimatorParamMaps: ArrayParamMapParam
    Definition Classes
    RankingTrainValidationSplitParams
  9. val evaluator: EvaluatorParam
    Definition Classes
    RankingTrainValidationSplitParams
  10. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  11. def explainParams(): String
    Definition Classes
    Params
  12. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  13. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  14. def filterRatings(dataset: Dataset[_]): DataFrame
  15. val finalStorageLevel: Param[String]
    Definition Classes
    ALSParams
  16. def fit(dataset: Dataset[_]): RankingTrainValidationSplitModel
    Definition Classes
    RankingTrainValidationSplit → Estimator
  17. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[RankingTrainValidationSplitModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  18. def fit(dataset: Dataset[_], paramMap: ParamMap): RankingTrainValidationSplitModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  19. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): RankingTrainValidationSplitModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  20. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  21. def getAlpha: Double
    Definition Classes
    ALSParams
  22. final def getBlockSize: Int
    Definition Classes
    HasBlockSize
  23. final def getCheckpointInterval: Int
    Definition Classes
    HasCheckpointInterval
  24. def getColdStartStrategy: String
    Definition Classes
    ALSModelParams
  25. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  26. def getEstimator: Estimator[_ <: Model[_]]

    Definition Classes
    RankingTrainValidationSplitParams
  27. def getEstimatorParamMaps: Array[ParamMap]

    Definition Classes
    RankingTrainValidationSplitParams
  28. def getEvaluator: Evaluator

    Definition Classes
    RankingTrainValidationSplitParams
  29. def getFinalStorageLevel: String
    Definition Classes
    ALSParams
  30. def getImplicitPrefs: Boolean
    Definition Classes
    ALSParams
  31. def getIntermediateStorageLevel: String
    Definition Classes
    ALSParams
  32. def getItemCol: String
    Definition Classes
    ALSModelParams
  33. final def getMaxIter: Int
    Definition Classes
    HasMaxIter
  34. def getMinRatingsI: Int

    Definition Classes
    RankingTrainValidationSplitParams
  35. def getMinRatingsU: Int

    Definition Classes
    RankingTrainValidationSplitParams
  36. def getNonnegative: Boolean
    Definition Classes
    ALSParams
  37. def getNumItemBlocks: Int
    Definition Classes
    ALSParams
  38. def getNumUserBlocks: Int
    Definition Classes
    ALSParams
  39. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  40. def getParallelism: Int

  41. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  42. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  43. def getRank: Int
    Definition Classes
    ALSParams
  44. def getRatingCol: String
    Definition Classes
    ALSParams
  45. final def getRegParam: Double
    Definition Classes
    HasRegParam
  46. final def getSeed: Long
    Definition Classes
    HasSeed
  47. def getTrainRatio: Double

    Definition Classes
    RankingTrainValidationSplitParams
  48. def getUserCol: String
    Definition Classes
    ALSModelParams
  49. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  50. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  51. val implicitPrefs: BooleanParam
    Definition Classes
    ALSParams
  52. val intermediateStorageLevel: Param[String]
    Definition Classes
    ALSParams
  53. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  54. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  55. val itemCol: Param[String]
    Definition Classes
    ALSModelParams
  56. def logClass(): Unit
    Definition Classes
    BasicLogging
  57. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  58. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  59. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  60. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  61. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  62. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  63. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  64. final val maxIter: IntParam
    Definition Classes
    HasMaxIter
  65. val minRatingsI: IntParam
    Definition Classes
    RankingTrainValidationSplitParams
  66. val minRatingsU: IntParam
    Definition Classes
    RankingTrainValidationSplitParams
  67. val nonnegative: BooleanParam
    Definition Classes
    ALSParams
  68. val numItemBlocks: IntParam
    Definition Classes
    ALSParams
  69. val numUserBlocks: IntParam
    Definition Classes
    ALSParams
  70. val parallelism: IntParam

    The number of threads to use when running parallel algorithms.

    The number of threads to use when running parallel algorithms. Default is 1 for serial execution

  71. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  72. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  73. def prepareTestData(validationDataset: DataFrame, recs: DataFrame, k: Int): Dataset[_]
  74. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  75. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  76. lazy val pyInternalWrapper: Boolean
    Definition Classes
    RankingTrainValidationSplit → PythonWrappable
  77. val rank: IntParam
    Definition Classes
    ALSParams
  78. val ratingCol: Param[String]
    Definition Classes
    ALSParams
  79. final val regParam: DoubleParam
    Definition Classes
    HasRegParam
  80. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  81. final val seed: LongParam
    Definition Classes
    HasSeed
  82. final def set[T](param: Param[T], value: T): RankingTrainValidationSplit.this.type
    Definition Classes
    Params
  83. def setEstimator(value: Estimator[_ <: Model[_]]): RankingTrainValidationSplit.this.type

  84. def setEstimatorParamMaps(value: Array[ParamMap]): RankingTrainValidationSplit.this.type

  85. def setEvaluator(value: Evaluator): RankingTrainValidationSplit.this.type

  86. def setItemCol(value: String): RankingTrainValidationSplit.this.type

  87. def setMinRatingsI(value: Int): RankingTrainValidationSplit.this.type

  88. def setMinRatingsU(value: Int): RankingTrainValidationSplit.this.type

  89. def setParallelism(value: Int): RankingTrainValidationSplit.this.type

  90. def setRatingCol(value: String): RankingTrainValidationSplit.this.type

  91. def setSeed(value: Long): RankingTrainValidationSplit.this.type

  92. def setTrainRatio(value: Double): RankingTrainValidationSplit.this.type

  93. def setUserCol(value: String): RankingTrainValidationSplit.this.type

  94. def splitDF(dataset: DataFrame): Array[DataFrame]
  95. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  96. val trainRatio: DoubleParam

    Param for ratio between train and validation data.

    Param for ratio between train and validation data. Must be between 0 and 1. Default: 0.75

    Definition Classes
    RankingTrainValidationSplitParams
  97. def transformSchema(schema: StructType): StructType
    Definition Classes
    RankingTrainValidationSplit → PipelineStage
  98. val uid: String
    Definition Classes
    RankingTrainValidationSplit → BasicLogging → Identifiable
  99. val userCol: Param[String]
    Definition Classes
    ALSModelParams
  100. val ver: String
    Definition Classes
    BasicLogging
  101. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable