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, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, Estimator[RankingTrainValidationSplitModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
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. DotnetWrappable
  17. RWrappable
  18. PythonWrappable
  19. BaseWrappable
  20. Estimator
  21. PipelineStage
  22. Logging
  23. Params
  24. Serializable
  25. Serializable
  26. Identifiable
  27. AnyRef
  28. Any
  1. Hide All
  2. Show All
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. val checkedCast: UserDefinedFunction
    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. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  20. def dotnetClass(): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  21. lazy val dotnetClassName: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  22. lazy val dotnetClassNameString: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  23. lazy val dotnetClassWrapperName: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  24. lazy val dotnetCopyrightLines: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  25. def dotnetExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  26. def dotnetExtraMethods: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  27. lazy val dotnetInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  28. def dotnetMLReadWriteMethods: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  29. lazy val dotnetNamespace: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  30. lazy val dotnetObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  31. def dotnetParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  32. def dotnetParamGetters: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  33. def dotnetParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  34. def dotnetParamSetters: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  35. def dotnetWrapAsTypeMethod: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  36. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  37. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  38. val estimator: EstimatorParam
  39. val estimatorParamMaps: ArrayParamMapParam
  40. val evaluator: EvaluatorParam
  41. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  42. def explainParams(): String
    Definition Classes
    Params
  43. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  44. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  45. def filterRatings(dataset: Dataset[_]): DataFrame
  46. val finalStorageLevel: Param[String]
    Definition Classes
    ALSParams
  47. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  48. def fit(dataset: Dataset[_]): RankingTrainValidationSplitModel
    Definition Classes
    RankingTrainValidationSplit → Estimator
  49. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[RankingTrainValidationSplitModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  50. def fit(dataset: Dataset[_], paramMap: ParamMap): RankingTrainValidationSplitModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  51. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): RankingTrainValidationSplitModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  52. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  53. def getAlpha: Double
    Definition Classes
    ALSParams
  54. final def getBlockSize: Int
    Definition Classes
    HasBlockSize
  55. final def getCheckpointInterval: Int
    Definition Classes
    HasCheckpointInterval
  56. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  57. def getColdStartStrategy: String
    Definition Classes
    ALSModelParams
  58. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  59. def getEstimator: Estimator[_ <: Model[_]]

  60. def getEstimatorParamMaps: Array[ParamMap]

  61. def getEvaluator: Evaluator

  62. def getFinalStorageLevel: String
    Definition Classes
    ALSParams
  63. def getImplicitPrefs: Boolean
    Definition Classes
    ALSParams
  64. def getIntermediateStorageLevel: String
    Definition Classes
    ALSParams
  65. def getItemCol: String
    Definition Classes
    ALSModelParams
  66. final def getMaxIter: Int
    Definition Classes
    HasMaxIter
  67. def getMinRatingsI: Int

  68. def getMinRatingsU: Int

  69. def getNonnegative: Boolean
    Definition Classes
    ALSParams
  70. def getNumItemBlocks: Int
    Definition Classes
    ALSParams
  71. def getNumUserBlocks: Int
    Definition Classes
    ALSParams
  72. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  73. def getParallelism: Int

  74. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  75. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  76. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  77. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  78. def getRank: Int
    Definition Classes
    ALSParams
  79. def getRatingCol: String
    Definition Classes
    ALSParams
  80. final def getRegParam: Double
    Definition Classes
    HasRegParam
  81. final def getSeed: Long
    Definition Classes
    HasSeed
  82. def getTrainRatio: Double

  83. def getUserCol: String
    Definition Classes
    ALSModelParams
  84. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  85. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  86. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  87. val implicitPrefs: BooleanParam
    Definition Classes
    ALSParams
  88. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  89. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  90. val intermediateStorageLevel: Param[String]
    Definition Classes
    ALSParams
  91. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  92. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  93. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  94. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  95. val itemCol: Param[String]
    Definition Classes
    ALSModelParams
  96. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  97. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  98. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  99. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  100. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  101. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  102. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  103. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  104. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  105. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  106. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  107. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  108. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  109. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  110. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  111. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  112. 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
  113. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  114. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  115. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  116. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  117. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  118. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  119. final val maxIter: IntParam
    Definition Classes
    HasMaxIter
  120. val minRatingsI: IntParam
  121. val minRatingsU: IntParam
  122. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  123. val nonnegative: BooleanParam
    Definition Classes
    ALSParams
  124. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  125. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  126. val numItemBlocks: IntParam
    Definition Classes
    ALSParams
  127. val numUserBlocks: IntParam
    Definition Classes
    ALSParams
  128. 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

  129. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  130. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  131. def prepareTestData(validationDataset: DataFrame, recs: DataFrame, k: Int): Dataset[_]
  132. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  133. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  134. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  135. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  136. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  137. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  138. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  139. lazy val pyInternalWrapper: Boolean
  140. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  141. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  142. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  143. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  144. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  145. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  146. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  147. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  148. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  149. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  150. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  151. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  152. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  153. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  154. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  155. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  156. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  157. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  158. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  159. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  160. val rank: IntParam
    Definition Classes
    ALSParams
  161. val ratingCol: Param[String]
    Definition Classes
    ALSParams
  162. final val regParam: DoubleParam
    Definition Classes
    HasRegParam
  163. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  164. final val seed: LongParam
    Definition Classes
    HasSeed
  165. final def set(paramPair: ParamPair[_]): RankingTrainValidationSplit.this.type
    Attributes
    protected
    Definition Classes
    Params
  166. final def set(param: String, value: Any): RankingTrainValidationSplit.this.type
    Attributes
    protected
    Definition Classes
    Params
  167. final def set[T](param: Param[T], value: T): RankingTrainValidationSplit.this.type
    Definition Classes
    Params
  168. def setAlpha(value: Double): RankingTrainValidationSplit.this.type

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

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

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

    Definition Classes
    RecommendationParams
  172. final def setDefault(paramPairs: ParamPair[_]*): RankingTrainValidationSplit.this.type
    Attributes
    protected
    Definition Classes
    Params
  173. final def setDefault[T](param: Param[T], value: T): RankingTrainValidationSplit.this.type
    Attributes
    protected
    Definition Classes
    Params
  174. def setEstimator(value: Estimator[_ <: Model[_]]): RankingTrainValidationSplit.this.type

  175. def setEstimatorParamMaps(value: ArrayList[ParamMap]): RankingTrainValidationSplit.this.type
  176. def setEstimatorParamMaps(value: Array[ParamMap]): RankingTrainValidationSplit.this.type

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  196. def splitDF(dataset: DataFrame): Array[DataFrame]
  197. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  198. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  199. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  200. 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
  201. def transformSchema(schema: StructType): StructType
    Definition Classes
    RankingTrainValidationSplit → PipelineStage
  202. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  203. def transformSchemaImpl(schema: StructType): StructType
    Attributes
    protected
    Definition Classes
    RankingTrainValidationSplitParams
  204. val uid: String
    Definition Classes
    RankingTrainValidationSplitSynapseMLLogging → Identifiable
  205. val userCol: Param[String]
    Definition Classes
    ALSModelParams
  206. def validateAndTransformSchema(schema: StructType): StructType
    Attributes
    protected
    Definition Classes
    ALSParams
  207. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  208. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  209. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  210. 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 HasSeed

Inherited from Wrappable

Inherited from DotnetWrappable

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