class BestModel extends Model[BestModel] with ComplexParamsWritable with Wrappable with HasBestModel with SynapseMLLogging

Model produced by FindBestModel.

Linear Supertypes
SynapseMLLogging, HasBestModel, Wrappable, RWrappable, PythonWrappable, BaseWrappable, ComplexParamsWritable, MLWritable, Model[BestModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. BestModel
  2. SynapseMLLogging
  3. HasBestModel
  4. Wrappable
  5. RWrappable
  6. PythonWrappable
  7. BaseWrappable
  8. ComplexParamsWritable
  9. MLWritable
  10. Model
  11. Transformer
  12. PipelineStage
  13. Logging
  14. Params
  15. Serializable
  16. Serializable
  17. Identifiable
  18. AnyRef
  19. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

    Gets a table of metrics from all models compared from the evaluation comparison.

    Gets a table of metrics from all models compared from the evaluation comparison.

    returns

    The model metrics results from all models.

  26. def getBestModel: Transformer

    The best model found during evaluation.

    The best model found during evaluation.

    returns

    The best model.

    Definition Classes
    HasBestModel
  27. def getBestModelMetrics: Dataset[_]

    Gets all of the best model metrics results from the evaluator.

    Gets all of the best model metrics results from the evaluator.

    returns

    All of the best model metrics results.

  28. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  29. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  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 getRocCurve: Dataset[_]

    Gets the ROC curve with TPR, FPR.

    Gets the ROC curve with TPR, FPR.

    returns

    The evaluation results.

  35. def getScoredDataset: DataFrame

    Gets the scored dataset.

    Gets the scored dataset.

    returns

    The scored dataset for the best model.

  36. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  37. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  38. def hasParent: Boolean
    Definition Classes
    Model
  39. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  40. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  41. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  42. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  43. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  44. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  45. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  46. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  47. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  48. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  49. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  50. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  51. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  52. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  53. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  54. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  55. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  56. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  57. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  58. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  59. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  60. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  61. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  62. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  63. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  64. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  65. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  66. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  67. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  68. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  69. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  70. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  71. var parent: Estimator[BestModel]
    Definition Classes
    Model
  72. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  73. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  74. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  75. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  76. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  77. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  78. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  79. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    BestModel → PythonWrappable
  80. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  81. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  82. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  83. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  84. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  85. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  86. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  87. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  88. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  89. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  90. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  91. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  92. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  93. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  94. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  95. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  96. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  97. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  98. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  99. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  100. val rocCurve: DataFrameParam
  101. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  102. val scoredDataset: DataFrameParam
  103. final def set(paramPair: ParamPair[_]): BestModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  104. final def set(param: String, value: Any): BestModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  105. final def set[T](param: Param[T], value: T): BestModel.this.type
    Definition Classes
    Params
  106. def setAllModelMetrics(v: DataFrame): BestModel.this.type
  107. def setBestModel(v: Transformer): BestModel.this.type
    Definition Classes
    HasBestModel
  108. def setBestModelMetrics(v: DataFrame): BestModel.this.type
  109. final def setDefault(paramPairs: ParamPair[_]*): BestModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  110. final def setDefault[T](param: Param[T], value: T): BestModel.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  111. def setParent(parent: Estimator[BestModel]): BestModel
    Definition Classes
    Model
  112. def setRocCurve(v: DataFrame): BestModel.this.type
  113. def setScoredDataset(v: DataFrame): BestModel.this.type
  114. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  115. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  116. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  117. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    BestModel → Transformer
  118. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  119. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  120. def transformSchema(schema: StructType): StructType
    Definition Classes
    BestModel → PipelineStage
  121. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  122. val uid: String
    Definition Classes
    BestModel → SynapseMLLogging → Identifiable
  123. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  124. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  125. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  126. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from SynapseMLLogging

Inherited from HasBestModel

Inherited from Wrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from Model[BestModel]

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

Ungrouped