Packages

class CNTKModel extends Model[CNTKModel] with ComplexParamsWritable with HasMiniBatcher with HasFeedFetchDicts with Wrappable with BasicLogging

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

Instance Constructors

  1. new CNTKModel()
  2. new CNTKModel(uid: String)

Value Members

  1. val batchInput: BooleanParam
  2. final def clear(param: Param[_]): CNTKModel.this.type
    Definition Classes
    Params
  3. val convertOutputToDenseVector: BooleanParam
  4. def copy(extra: ParamMap): CNTKModel.this.type
    Definition Classes
    CNTKModel → Model → Transformer → PipelineStage → Params
  5. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  6. def explainParams(): String
    Definition Classes
    Params
  7. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  8. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  9. val feedDict: MapParam[String, String]
    Definition Classes
    HasFeedFetchDicts
  10. val fetchDict: MapParam[String, String]
    Definition Classes
    HasFeedFetchDicts
  11. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  12. def getBatchInput: Boolean
  13. def getConvertOutputToDenseVector: Boolean
  14. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  15. def getFeedDict: Map[String, String]
    Definition Classes
    HasFeedFetchDicts
  16. def getFetchDict: Map[String, String]
    Definition Classes
    HasFeedFetchDicts
  17. def getInputCol: String
  18. def getInputNode: String
  19. def getInputNodeIndex: Int
  20. def getInputShapes: List[Array[Int]]

    Returns the dimensions of the required input

  21. def getMiniBatchSize: Int
    Definition Classes
    HasMiniBatcher
  22. def getMiniBatcher: MiniBatchBase

    Definition Classes
    HasMiniBatcher
  23. def getModel: SerializableFunction

  24. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  25. def getOutputCol: String
  26. def getOutputNode: String
  27. def getOutputNodeIndex: Int
  28. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  29. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  30. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  31. def hasParent: Boolean
    Definition Classes
    Model
  32. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  33. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  34. def logClass(): Unit
    Definition Classes
    BasicLogging
  35. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  36. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  37. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  38. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  39. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  40. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  41. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  42. val miniBatcher: TransformerParam

    Size of minibatches.

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

    Definition Classes
    HasMiniBatcher
  43. val model: CNTKFunctionParam

    Array of bytes containing the serialized CNTK Function

  44. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  45. var parent: Estimator[CNTKModel]
    Definition Classes
    Model
  46. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  47. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  48. def rebroadcastCNTKModel(spark: SparkSession): Unit
  49. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  50. final def set[T](param: Param[T], value: T): CNTKModel.this.type
    Definition Classes
    Params
  51. def setBatchInput(v: Boolean): CNTKModel.this.type
  52. def setConvertOutputToDenseVector(v: Boolean): CNTKModel.this.type
  53. def setFeedDict(k: String, v: String): CNTKModel.this.type
    Definition Classes
    HasFeedFetchDicts
  54. def setFeedDict(value: Map[String, String]): CNTKModel.this.type
    Definition Classes
    HasFeedFetchDicts
  55. def setFetchDict(k: String, v: String): CNTKModel.this.type
    Definition Classes
    HasFeedFetchDicts
  56. def setFetchDict(value: Map[String, String]): CNTKModel.this.type
    Definition Classes
    HasFeedFetchDicts
  57. def setInputCol(value: String): CNTKModel.this.type
  58. def setInputNode(value: String): CNTKModel.this.type
  59. def setInputNodeIndex(value: Int): CNTKModel.this.type
  60. def setMiniBatchSize(n: Int): CNTKModel.this.type
    Definition Classes
    HasMiniBatcher
  61. def setMiniBatcher(value: MiniBatchBase): CNTKModel.this.type

    Definition Classes
    HasMiniBatcher
  62. def setModel(value: SerializableFunction): CNTKModel.this.type

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

  64. def setOutputCol(value: String): CNTKModel.this.type
  65. def setOutputNode(value: String): CNTKModel.this.type
  66. def setOutputNodeIndex(value: Int): CNTKModel.this.type
  67. def setParent(parent: Estimator[CNTKModel]): CNTKModel
    Definition Classes
    Model
  68. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  69. def transform(dataset: Dataset[_]): DataFrame

    Evaluate the model

    Evaluate the model

    dataset

    the dataset to featurize

    returns

    featurized dataset

    Definition Classes
    CNTKModel → Transformer
  70. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  71. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  72. def transformSchema(schema: StructType): StructType
    Definition Classes
    CNTKModel → PipelineStage
  73. val uid: String
    Definition Classes
    CNTKModel → BasicLogging → Identifiable
  74. val ver: String
    Definition Classes
    BasicLogging
  75. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable