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

Linear Supertypes
SynapseMLLogging, 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. SynapseMLLogging
  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. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. val alpha: DoubleParam
    Definition Classes
    ALSParams
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. final val blockSize: IntParam
    Definition Classes
    HasBlockSize
  8. def checkIntegers(dataset: Dataset[_], colName: String): Column
    Attributes
    protected[org.apache.spark.ml.recommendation]
    Definition Classes
    ALSModelParams
  9. final val checkpointInterval: IntParam
    Definition Classes
    HasCheckpointInterval
  10. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  11. final def clear(param: Param[_]): RankingTrainValidationSplit.this.type
    Definition Classes
    Params
  12. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  13. val coldStartStrategy: Param[String]
    Definition Classes
    ALSModelParams
  14. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  15. def copy(extra: ParamMap): RankingTrainValidationSplit
    Definition Classes
    RankingTrainValidationSplit → Estimator → PipelineStage → Params
  16. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  17. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  18. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  19. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  20. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  21. val estimator: EstimatorParam
    Definition Classes
    RankingTrainValidationSplitParams
  22. val estimatorParamMaps: ArrayParamMapParam
    Definition Classes
    RankingTrainValidationSplitParams
  23. val evaluator: EvaluatorParam
    Definition Classes
    RankingTrainValidationSplitParams
  24. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  25. def explainParams(): String
    Definition Classes
    Params
  26. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  27. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  28. def filterRatings(dataset: Dataset[_]): DataFrame
  29. val finalStorageLevel: Param[String]
    Definition Classes
    ALSParams
  30. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  31. def fit(dataset: Dataset[_]): RankingTrainValidationSplitModel
    Definition Classes
    RankingTrainValidationSplit → Estimator
  32. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[RankingTrainValidationSplitModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  33. def fit(dataset: Dataset[_], paramMap: ParamMap): RankingTrainValidationSplitModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  34. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): RankingTrainValidationSplitModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  35. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  36. def getAlpha: Double
    Definition Classes
    ALSParams
  37. final def getBlockSize: Int
    Definition Classes
    HasBlockSize
  38. final def getCheckpointInterval: Int
    Definition Classes
    HasCheckpointInterval
  39. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  40. def getColdStartStrategy: String
    Definition Classes
    ALSModelParams
  41. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  42. def getEstimator: Estimator[_ <: Model[_]]

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

    Definition Classes
    RankingTrainValidationSplitParams
  44. def getEvaluator: Evaluator

    Definition Classes
    RankingTrainValidationSplitParams
  45. def getFinalStorageLevel: String
    Definition Classes
    ALSParams
  46. def getImplicitPrefs: Boolean
    Definition Classes
    ALSParams
  47. def getIntermediateStorageLevel: String
    Definition Classes
    ALSParams
  48. def getItemCol: String
    Definition Classes
    ALSModelParams
  49. final def getMaxIter: Int
    Definition Classes
    HasMaxIter
  50. def getMinRatingsI: Int

    Definition Classes
    RankingTrainValidationSplitParams
  51. def getMinRatingsU: Int

    Definition Classes
    RankingTrainValidationSplitParams
  52. def getNonnegative: Boolean
    Definition Classes
    ALSParams
  53. def getNumItemBlocks: Int
    Definition Classes
    ALSParams
  54. def getNumUserBlocks: Int
    Definition Classes
    ALSParams
  55. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  56. def getParallelism: Int

  57. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  58. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  59. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  60. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  61. def getRank: Int
    Definition Classes
    ALSParams
  62. def getRatingCol: String
    Definition Classes
    ALSParams
  63. final def getRegParam: Double
    Definition Classes
    HasRegParam
  64. final def getSeed: Long
    Definition Classes
    HasSeed
  65. def getTrainRatio: Double

    Definition Classes
    RankingTrainValidationSplitParams
  66. def getUserCol: String
    Definition Classes
    ALSModelParams
  67. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  68. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  69. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  70. val implicitPrefs: BooleanParam
    Definition Classes
    ALSParams
  71. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  72. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  73. val intermediateStorageLevel: Param[String]
    Definition Classes
    ALSParams
  74. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  75. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  76. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  77. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  78. val itemCol: Param[String]
    Definition Classes
    ALSModelParams
  79. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  80. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  81. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  82. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  83. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  84. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  85. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  86. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  87. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  88. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  89. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  90. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  91. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  92. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  93. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  94. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  95. def logTuningParams(instrumentation: Instrumentation): Unit

    Instrumentation logging for tuning params including the inner estimator and evaluator info.

    Instrumentation logging for tuning params including the inner estimator and evaluator info.

    Attributes
    protected
    Definition Classes
    RankingTrainValidationSplitParams
  96. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  97. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  98. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  99. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  100. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  101. final val maxIter: IntParam
    Definition Classes
    HasMaxIter
  102. val minRatingsI: IntParam
    Definition Classes
    RankingTrainValidationSplitParams
  103. val minRatingsU: IntParam
    Definition Classes
    RankingTrainValidationSplitParams
  104. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  105. val nonnegative: BooleanParam
    Definition Classes
    ALSParams
  106. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  107. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  108. val numItemBlocks: IntParam
    Definition Classes
    ALSParams
  109. val numUserBlocks: IntParam
    Definition Classes
    ALSParams
  110. 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

  111. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  112. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  113. def prepareTestData(validationDataset: DataFrame, recs: DataFrame, k: Int): Dataset[_]
  114. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  115. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  116. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  117. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  118. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  119. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  120. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  121. lazy val pyInternalWrapper: Boolean
    Definition Classes
    RankingTrainValidationSplit → PythonWrappable
  122. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  123. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  124. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  125. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  126. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  127. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  128. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  129. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  130. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  131. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  132. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  133. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  134. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  135. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  136. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  137. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  138. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  139. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  140. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  141. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  142. val rank: IntParam
    Definition Classes
    ALSParams
  143. val ratingCol: Param[String]
    Definition Classes
    ALSParams
  144. final val regParam: DoubleParam
    Definition Classes
    HasRegParam
  145. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  146. final val seed: LongParam
    Definition Classes
    HasSeed
  147. final def set(paramPair: ParamPair[_]): RankingTrainValidationSplit.this.type
    Attributes
    protected
    Definition Classes
    Params
  148. final def set(param: String, value: Any): RankingTrainValidationSplit.this.type
    Attributes
    protected
    Definition Classes
    Params
  149. final def set[T](param: Param[T], value: T): RankingTrainValidationSplit.this.type
    Definition Classes
    Params
  150. def setAlpha(value: Double): RankingTrainValidationSplit.this.type

    Definition Classes
    RecommendationParams
  151. def setBlockSize(value: Int): RankingTrainValidationSplit.this.type

    Definition Classes
    RecommendationParams
  152. def setCheckpointInterval(value: Int): RankingTrainValidationSplit.this.type

    Definition Classes
    RecommendationParams
  153. def setColdStartStrategy(value: String): RankingTrainValidationSplit.this.type

    Definition Classes
    RecommendationParams
  154. final def setDefault(paramPairs: ParamPair[_]*): RankingTrainValidationSplit.this.type
    Attributes
    protected
    Definition Classes
    Params
  155. final def setDefault[T](param: Param[T], value: T): RankingTrainValidationSplit.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  156. def setEstimator(value: Estimator[_ <: Model[_]]): RankingTrainValidationSplit.this.type

  157. def setEstimatorParamMaps(value: ArrayList[ParamMap]): RankingTrainValidationSplit.this.type
  158. def setEstimatorParamMaps(value: Array[ParamMap]): RankingTrainValidationSplit.this.type

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

  160. def setFinalStorageLevel(value: String): RankingTrainValidationSplit.this.type

    Definition Classes
    RecommendationParams
  161. def setImplicitPrefs(value: Boolean): RankingTrainValidationSplit.this.type

    Definition Classes
    RecommendationParams
  162. def setIntermediateStorageLevel(value: String): RankingTrainValidationSplit.this.type

    Definition Classes
    RecommendationParams
  163. def setItemCol(value: String): RankingTrainValidationSplit.this.type

  164. def setMaxIter(value: Int): RankingTrainValidationSplit.this.type

    Definition Classes
    RecommendationParams
  165. def setMinRatingsI(value: Int): RankingTrainValidationSplit.this.type

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

  167. def setNonnegative(value: Boolean): RankingTrainValidationSplit.this.type

    Definition Classes
    RecommendationParams
  168. def setNumItemBlocks(value: Int): RankingTrainValidationSplit.this.type

    Definition Classes
    RecommendationParams
  169. def setNumUserBlocks(value: Int): RankingTrainValidationSplit.this.type

    Definition Classes
    RecommendationParams
  170. def setParallelism(value: Int): RankingTrainValidationSplit.this.type

  171. def setPredictionCol(value: String): RankingTrainValidationSplit.this.type

    Definition Classes
    RecommendationParams
  172. def setRank(value: Int): RankingTrainValidationSplit.this.type

    Definition Classes
    RecommendationParams
  173. def setRatingCol(value: String): RankingTrainValidationSplit.this.type

  174. def setRegParam(value: Double): RankingTrainValidationSplit.this.type

    Definition Classes
    RecommendationParams
  175. def setSeed(value: Long): RankingTrainValidationSplit.this.type

    Definition Classes
    RecommendationParams
  176. def setTrainRatio(value: Double): RankingTrainValidationSplit.this.type

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

  178. def splitDF(dataset: DataFrame): Array[DataFrame]
  179. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  180. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  181. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  182. 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
  183. def transformSchema(schema: StructType): StructType
    Definition Classes
    RankingTrainValidationSplit → PipelineStage
  184. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  185. def transformSchemaImpl(schema: StructType): StructType
    Attributes
    protected
    Definition Classes
    RankingTrainValidationSplitParams
  186. val uid: String
    Definition Classes
    RankingTrainValidationSplit → SynapseMLLogging → Identifiable
  187. val userCol: Param[String]
    Definition Classes
    ALSModelParams
  188. def validateAndTransformSchema(schema: StructType): StructType
    Attributes
    protected
    Definition Classes
    ALSParams
  189. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  190. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  191. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  192. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from SynapseMLLogging

Inherited from RecommendationParams

Inherited from ALSParams

Inherited from HasCheckpointInterval

Inherited from HasRegParam

Inherited from HasMaxIter

Inherited from ALSModelParams

Inherited from HasBlockSize

Inherited from HasPredictionCol

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from RankingTrainValidationSplitParams

Inherited from HasSeed

Inherited from Wrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from Estimator[RankingTrainValidationSplitModel]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

expertGetParam

expertParam

expertSetParam

getParam

param

setParam

Ungrouped