class RankingAdapterModel extends Model[RankingAdapterModel] with ComplexParamsWritable with Wrappable with RankingParams with Mode with SynapseMLLogging

Model from train validation split.

Linear Supertypes
SynapseMLLogging, Mode, RankingParams, hasK, HasLabelCol, HasRecommenderCols, Wrappable, RWrappable, PythonWrappable, BaseWrappable, ComplexParamsWritable, MLWritable, Model[RankingAdapterModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. RankingAdapterModel
  2. SynapseMLLogging
  3. Mode
  4. RankingParams
  5. hasK
  6. HasLabelCol
  7. HasRecommenderCols
  8. Wrappable
  9. RWrappable
  10. PythonWrappable
  11. BaseWrappable
  12. ComplexParamsWritable
  13. MLWritable
  14. Model
  15. Transformer
  16. PipelineStage
  17. Logging
  18. Params
  19. Serializable
  20. Serializable
  21. Identifiable
  22. AnyRef
  23. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new RankingAdapterModel()

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. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  7. final def clear(param: Param[_]): RankingAdapterModel.this.type
    Definition Classes
    Params
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  9. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  10. def copy(extra: ParamMap): RankingAdapterModel
    Definition Classes
    RankingAdapterModel → Model → Transformer → PipelineStage → Params
  11. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  12. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  13. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  14. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  16. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  17. def explainParams(): String
    Definition Classes
    Params
  18. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  19. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  20. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  21. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  22. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  23. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  24. def getItemCol: String
    Definition Classes
    HasRecommenderCols
  25. def getK: Int

    Definition Classes
    hasK
  26. def getLabelCol: String

    Definition Classes
    HasLabelCol
  27. def getMinRatingsPerItem: Int

    Definition Classes
    RankingParams
  28. def getMinRatingsPerUser: Int

    Definition Classes
    RankingParams
  29. def getMode: String

    Definition Classes
    Mode
  30. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  31. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  32. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  33. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  34. def getRatingCol: String
    Definition Classes
    HasRecommenderCols
  35. def getRecommender: Estimator[_ <: Model[_]]

    Definition Classes
    RankingParams
  36. def getRecommenderModel: Model[_]
  37. def getUserCol: String
    Definition Classes
    HasRecommenderCols
  38. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  39. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  40. def hasParent: Boolean
    Definition Classes
    Model
  41. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  42. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  43. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  44. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  45. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  46. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  47. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  48. val itemCol: Param[String]
    Definition Classes
    HasRecommenderCols
  49. val k: IntParam
    Definition Classes
    hasK
  50. val labelCol: Param[String]

    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  51. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  52. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  53. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  54. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  55. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  56. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  57. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  58. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  59. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  60. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  61. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  62. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  63. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  64. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  65. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  66. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  67. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  68. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  69. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  70. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  71. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  72. val minRatingsPerItem: IntParam
    Definition Classes
    RankingParams
  73. val minRatingsPerUser: IntParam
    Definition Classes
    RankingParams
  74. val mode: Param[String]
    Definition Classes
    Mode
  75. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  76. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  77. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  78. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  79. var parent: Estimator[RankingAdapterModel]
    Definition Classes
    Model
  80. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  81. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  82. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  83. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  84. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  85. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  86. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  87. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  88. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  89. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  90. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  91. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  92. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  93. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  94. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  95. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  96. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  97. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  98. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  99. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  100. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  101. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  102. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  103. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  104. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  105. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  106. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  107. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  108. val ratingCol: Param[String]
    Definition Classes
    HasRecommenderCols
  109. def recommendForAllUsers(k: Int): DataFrame
  110. val recommender: EstimatorParam
    Definition Classes
    RankingParams
  111. val recommenderModel: TransformerParam
  112. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  113. final def set(paramPair: ParamPair[_]): RankingAdapterModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  114. final def set(param: String, value: Any): RankingAdapterModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  115. final def set[T](param: Param[T], value: T): RankingAdapterModel.this.type
    Definition Classes
    Params
  116. final def setDefault(paramPairs: ParamPair[_]*): RankingAdapterModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  117. final def setDefault[T](param: Param[T], value: T): RankingAdapterModel.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  118. def setItemCol(value: String): RankingAdapterModel.this.type

    Definition Classes
    HasRecommenderCols
  119. def setK(value: Int): RankingAdapterModel.this.type

    Definition Classes
    hasK
  120. def setLabelCol(value: String): RankingAdapterModel.this.type

    Definition Classes
    HasLabelCol
  121. def setMinRatingsPerItem(value: Int): RankingAdapterModel.this.type

    Definition Classes
    RankingParams
  122. def setMinRatingsPerUser(value: Int): RankingAdapterModel.this.type

    Definition Classes
    RankingParams
  123. def setMode(value: String): RankingAdapterModel.this.type

    Definition Classes
    Mode
  124. def setParent(parent: Estimator[RankingAdapterModel]): RankingAdapterModel
    Definition Classes
    Model
  125. def setRatingCol(value: String): RankingAdapterModel.this.type

    Definition Classes
    HasRecommenderCols
  126. def setRecommender(value: Estimator[_ <: Model[_]]): RankingAdapterModel.this.type

    Definition Classes
    RankingParams
  127. def setRecommenderModel(m: Model[_]): RankingAdapterModel.this.type
  128. def setUserCol(value: String): RankingAdapterModel.this.type

    Definition Classes
    HasRecommenderCols
  129. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  130. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  131. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  132. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    RankingAdapterModel → Transformer
  133. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  134. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  135. def transformSchema(schema: StructType): StructType
    Definition Classes
    Mode
  136. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  137. val uid: String
    Definition Classes
    RankingAdapterModelSynapseMLLogging → Identifiable
  138. val userCol: Param[String]
    Definition Classes
    HasRecommenderCols
  139. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  140. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  141. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  142. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from SynapseMLLogging

Inherited from Mode

Inherited from RankingParams

Inherited from hasK

Inherited from HasLabelCol

Inherited from HasRecommenderCols

Inherited from Wrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from Model[RankingAdapterModel]

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

Ungrouped