CNTKModel

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. def additionalPythonMethods(): String

   

   Definition Classes

   HasAdditionalPythonMethods

6. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

7. val batchInput: BooleanParam

   

8. final def clear(param: Param[_]): CNTKModel.this.type

   

   Definition Classes

   Params

9. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

10. val convertOutputToDenseVector: BooleanParam

    

11. def copy(extra: ParamMap): CNTKModel.this.type

    

    Definition Classes

    CNTKModel → Model → Transformer → PipelineStage → Params

12. def copyValues[T <: Params](to: T, extra: ParamMap): T

    

    Attributes

    protected

    Definition Classes

    Params

13. final def defaultCopy[T <: Params](extra: ParamMap): T

    

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    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. val feedDict: MapParam[String, String]

    

21. val fetchDict: MapParam[String, String]

    

22. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

23. final def get[T](param: Param[T]): Option[T]

    

    Definition Classes

    Params

24. def getBatchInput: Boolean

    

25. final def getClass(): Class[_]

    

    Definition Classes

    AnyRef → Any

26. def getConvertOutputToDenseVector: Boolean

    

27. final def getDefault[T](param: Param[T]): Option[T]

    

    Definition Classes

    Params

28. def getFeedDict: Map[String, String]

    

29. def getFetchDict: Map[String, String]

    

30. def getInputCol: String

    

31. def getInputNode: String

    

32. def getInputNodeIndex: Int

    

33. def getInputShapes: List[Array[Int]]

    

    Returns the dimensions of the required input

34. def getMiniBatchSize: Int

    

    Definition Classes

    HasMiniBatcher

35. def getMiniBatcher: MiniBatchBase

    
    Definition Classes

    HasMiniBatcher

36. def getModel: SerializableFunction

    

37. final def getOrDefault[T](param: Param[T]): T

    

    Definition Classes

    Params

38. def getOutputCol: String

    

39. def getOutputNode: String

    

40. def getOutputNodeIndex: Int

    

41. def getParam(paramName: String): Param[Any]

    

    Definition Classes

    Params

42. def getShapeOutput: Boolean

    

43. final def hasDefault[T](param: Param[T]): Boolean

    

    Definition Classes

    Params

44. def hasParam(paramName: String): Boolean

    

    Definition Classes

    Params

45. def hasParent: Boolean

    

    Definition Classes

    Model

46. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

47. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

    

    Attributes

    protected

    Definition Classes

    Logging

48. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

49. final def isDefined(param: Param[_]): Boolean

    

    Definition Classes

    Params

50. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

51. final def isSet(param: Param[_]): Boolean

    

    Definition Classes

    Params

52. def isTraceEnabled(): Boolean

    

    Attributes

    protected

    Definition Classes

    Logging

53. def log: Logger

    

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    protected

    Definition Classes

    Logging

54. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    

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    protected

    Definition Classes

    Logging

55. def logDebug(msg: ⇒ String): Unit

    

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    protected

    Definition Classes

    Logging

56. def logError(msg: ⇒ String, throwable: Throwable): Unit

    

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    Definition Classes

    Logging

57. def logError(msg: ⇒ String): Unit

    

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    Definition Classes

    Logging

58. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    

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    protected

    Definition Classes

    Logging

59. def logInfo(msg: ⇒ String): Unit

    

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    Definition Classes

    Logging

60. def logName: String

    

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    protected

    Definition Classes

    Logging

61. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

62. def logTrace(msg: ⇒ String): Unit

    

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    protected

    Definition Classes

    Logging

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. val miniBatcher: TransformerParam

    

    Size of minibatches.

    Size of minibatches. Must be greater than 0; default is 10

    Definition Classes

    HasMiniBatcher

66. val model: CNTKFunctionParam

    

    Array of bytes containing the serialized CNTK Function

    Array of bytes containing the serialized CNTK Function

67. final def ne(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

68. final def notify(): Unit

    

    Definition Classes

    AnyRef

69. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

70. lazy val params: Array[Param[_]]

    

    Definition Classes

    Params

71. var parent: Estimator[CNTKModel]

    

    Definition Classes

    Model

72. def rebroadcastCNTKModel(spark: SparkSession): Unit

    

73. def save(path: String): Unit

    

    Definition Classes

    MLWritable

    Annotations

    @Since( "1.6.0" ) @throws( ... )

74. final def set(paramPair: ParamPair[_]): CNTKModel.this.type

    

    Attributes

    protected

    Definition Classes

    Params

75. final def set(param: String, value: Any): CNTKModel.this.type

    

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    protected

    Definition Classes

    Params

76. final def set[T](param: Param[T], value: T): CNTKModel.this.type

    

    Definition Classes

    Params

77. def setBatchInput(v: Boolean): CNTKModel.this.type

    

78. def setConvertOutputToDenseVector(v: Boolean): CNTKModel.this.type

    

79. final def setDefault(paramPairs: ParamPair[_]*): CNTKModel.this.type

    

    Attributes

    protected

    Definition Classes

    Params

80. final def setDefault[T](param: Param[T], value: T): CNTKModel.this.type

    

    Attributes

    protected

    Definition Classes

    Params

81. def setFeedDict(k: String, v: String): CNTKModel.this.type

    

82. def setFeedDict(value: Map[String, String]): CNTKModel.this.type

    

83. def setFetchDict(k: String, v: String): CNTKModel.this.type

    

84. def setFetchDict(value: Map[String, String]): CNTKModel.this.type

    

85. def setInputCol(value: String): CNTKModel.this.type

    

86. def setInputNode(value: String): CNTKModel.this.type

    

87. def setInputNodeIndex(value: Int): CNTKModel.this.type

    

88. def setMiniBatchSize(n: Int): CNTKModel.this.type

    

    Definition Classes

    HasMiniBatcher

89. def setMiniBatcher(value: MiniBatchBase): CNTKModel.this.type

    
    Definition Classes

    HasMiniBatcher

90. def setModel(value: SerializableFunction): CNTKModel.this.type

    

91. def setModelLocation(path: String): CNTKModel.this.type

    

92. def setOutputCol(value: String): CNTKModel.this.type

    

93. def setOutputNode(value: String): CNTKModel.this.type

    

94. def setOutputNodeIndex(value: Int): CNTKModel.this.type

    

95. def setParent(parent: Estimator[CNTKModel]): CNTKModel

    

    Definition Classes

    Model

96. def setShapeOutput(v: Boolean): CNTKModel.this.type

    

97. val shapeOutput: BooleanParam

    

98. final def synchronized[T0](arg0: ⇒ T0): T0

    

    Definition Classes

    AnyRef

99. def toString(): String

    

    Definition Classes

    Identifiable → AnyRef → Any

100. def transform(dataset: Dataset[_]): DataFrame

     

     Evaluate the model

     Evaluate the model

     dataset

     the dataset to featurize

     returns

     featurized dataset

     Definition Classes

     CNTKModel → Transformer

101. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" )

102. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" ) @varargs()

103. def transformSchema(schema: StructType): StructType

     

     Definition Classes

     CNTKModel → PipelineStage

104. def transformSchema(schema: StructType, logging: Boolean): StructType

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

105. val uid: String

     

     Definition Classes

     CNTKModel → Identifiable

106. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

107. final def wait(arg0: Long, arg1: Int): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

108. final def wait(arg0: Long): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

109. def write: MLWriter

     

     Definition Classes

     ComplexParamsWritable → MLWritable