class CNTKModel extends Model[CNTKModel] with ComplexParamsWritable with HasMiniBatcher with HasFeedFetchDicts with Wrappable with BasicLogging
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- BasicLogging
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- HasMiniBatcher
- ComplexParamsWritable
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final
def
!=(arg0: Any): Boolean
- Definition Classes
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final
def
##(): Int
- Definition Classes
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final
def
$[T](param: Param[T]): T
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final
def
==(arg0: Any): Boolean
- Definition Classes
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final
def
asInstanceOf[T0]: T0
- Definition Classes
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- val batchInput: BooleanParam
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lazy val
classNameHelper: String
- Attributes
- protected
- Definition Classes
- BaseWrappable
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final
def
clear(param: Param[_]): CNTKModel.this.type
- Definition Classes
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def
clone(): AnyRef
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- protected[lang]
- Definition Classes
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- @throws( ... ) @native()
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def
companionModelClassName: String
- Attributes
- protected
- Definition Classes
- BaseWrappable
- val convertOutputToDenseVector: BooleanParam
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def
copy(extra: ParamMap): CNTKModel.this.type
- Definition Classes
- CNTKModel → Model → Transformer → PipelineStage → Params
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def
copyValues[T <: Params](to: T, extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
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lazy val
copyrightLines: String
- Attributes
- protected
- Definition Classes
- BaseWrappable
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final
def
defaultCopy[T <: Params](extra: ParamMap): T
- Attributes
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- Definition Classes
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
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def
equals(arg0: Any): Boolean
- Definition Classes
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def
explainParam(param: Param[_]): String
- Definition Classes
- Params
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def
explainParams(): String
- Definition Classes
- Params
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final
def
extractParamMap(): ParamMap
- Definition Classes
- Params
-
final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
- Params
-
val
feedDict: MapParam[String, String]
- Definition Classes
- HasFeedFetchDicts
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val
fetchDict: MapParam[String, String]
- Definition Classes
- HasFeedFetchDicts
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
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- @throws( classOf[java.lang.Throwable] )
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final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
- def getBatchInput: Boolean
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final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
- def getConvertOutputToDenseVector: Boolean
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final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
def
getFeedDict: Map[String, String]
- Definition Classes
- HasFeedFetchDicts
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def
getFetchDict: Map[String, String]
- Definition Classes
- HasFeedFetchDicts
- def getInputCol: String
- def getInputNode: String
- def getInputNodeIndex: Int
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def
getInputShapes: List[Array[Int]]
Returns the dimensions of the required input
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def
getMiniBatchSize: Int
- Definition Classes
- HasMiniBatcher
-
def
getMiniBatcher: MiniBatchBase
- Definition Classes
- HasMiniBatcher
- def getModel: SerializableFunction
-
final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
- def getOutputCol: String
- def getOutputNode: String
- def getOutputNodeIndex: Int
-
def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
-
final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
-
def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
-
def
hasParent: Boolean
- Definition Classes
- Model
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
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def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
- Attributes
- protected
- Definition Classes
- Logging
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def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
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final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
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final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
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def
isTraceEnabled(): Boolean
- Attributes
- protected
- Definition Classes
- Logging
-
def
log: Logger
- Attributes
- protected
- Definition Classes
- Logging
-
def
logBase(methodName: String): Unit
- Attributes
- protected
- Definition Classes
- BasicLogging
-
def
logClass(): Unit
- Definition Classes
- BasicLogging
-
def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logDebug(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logError(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logError(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logErrorBase(methodName: String, e: Exception): Unit
- Attributes
- protected
- Definition Classes
- BasicLogging
-
def
logFit[T](f: ⇒ T): T
- Definition Classes
- BasicLogging
-
def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logInfo(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logName: String
- Attributes
- protected
- Definition Classes
- Logging
-
def
logPredict[T](f: ⇒ T): T
- Definition Classes
- BasicLogging
-
def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logTrace(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logTrain[T](f: ⇒ T): T
- Definition Classes
- BasicLogging
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def
logTransform[T](f: ⇒ T): T
- Definition Classes
- BasicLogging
-
def
logVerb[T](verb: String, f: ⇒ T): T
- Definition Classes
- BasicLogging
-
def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logWarning(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
makePyFile(conf: CodegenConfig): Unit
- Definition Classes
- PythonWrappable
-
def
makeRFile(conf: CodegenConfig): Unit
- Definition Classes
- RWrappable
-
val
miniBatcher: TransformerParam
Size of minibatches.
Size of minibatches. Must be greater than 0; default is 10
- Definition Classes
- HasMiniBatcher
-
val
model: CNTKFunctionParam
Array of bytes containing the serialized CNTK
Function
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
var
parent: Estimator[CNTKModel]
- Definition Classes
- Model
-
def
pyAdditionalMethods: String
- Definition Classes
- PythonWrappable
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lazy val
pyClassDoc: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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lazy val
pyClassName: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyExtraEstimatorImports: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyExtraEstimatorMethods: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
lazy val
pyInheritedClasses: Seq[String]
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyInitFunc(): String
- Definition Classes
- PythonWrappable
-
lazy val
pyInternalWrapper: Boolean
- Attributes
- protected
- Definition Classes
- CNTKModel → PythonWrappable
-
lazy val
pyObjectBaseClass: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamArg[T](p: Param[T]): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamDefault[T](p: Param[T]): Option[String]
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamGetter(p: Param[_]): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamSetter(p: Param[_]): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamsArgs: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamsDefaults: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
lazy val
pyParamsDefinitions: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamsGetters: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamsSetters: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pythonClass(): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
rClass(): String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rDocString: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rExtraBodyLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rExtraInitLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
lazy val
rFuncName: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
lazy val
rInternalWrapper: Boolean
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rParamArg[T](p: Param[T]): String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rParamsArgs: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rSetterLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
- def rebroadcastCNTKModel(spark: SparkSession): Unit
-
def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
-
final
def
set(paramPair: ParamPair[_]): CNTKModel.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set(param: String, value: Any): CNTKModel.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set[T](param: Param[T], value: T): CNTKModel.this.type
- Definition Classes
- Params
- def setBatchInput(v: Boolean): CNTKModel.this.type
- def setConvertOutputToDenseVector(v: Boolean): CNTKModel.this.type
-
final
def
setDefault(paramPairs: ParamPair[_]*): CNTKModel.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): CNTKModel.this.type
- Attributes
- protected
- Definition Classes
- Params
-
def
setFeedDict(k: String, v: String): CNTKModel.this.type
- Definition Classes
- HasFeedFetchDicts
-
def
setFeedDict(value: Map[String, String]): CNTKModel.this.type
- Definition Classes
- HasFeedFetchDicts
-
def
setFetchDict(k: String, v: String): CNTKModel.this.type
- Definition Classes
- HasFeedFetchDicts
-
def
setFetchDict(value: Map[String, String]): CNTKModel.this.type
- Definition Classes
- HasFeedFetchDicts
- def setInputCol(value: String): CNTKModel.this.type
- def setInputNode(value: String): CNTKModel.this.type
- def setInputNodeIndex(value: Int): CNTKModel.this.type
-
def
setMiniBatchSize(n: Int): CNTKModel.this.type
- Definition Classes
- HasMiniBatcher
-
def
setMiniBatcher(value: MiniBatchBase): CNTKModel.this.type
- Definition Classes
- HasMiniBatcher
- def setModel(value: SerializableFunction): CNTKModel.this.type
- def setModelLocation(path: String): CNTKModel.this.type
- def setOutputCol(value: String): CNTKModel.this.type
- def setOutputNode(value: String): CNTKModel.this.type
- def setOutputNodeIndex(value: Int): CNTKModel.this.type
-
def
setParent(parent: Estimator[CNTKModel]): CNTKModel
- Definition Classes
- Model
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
def
transform(dataset: Dataset[_]): DataFrame
Evaluate the model
Evaluate the model
- dataset
the dataset to featurize
- returns
featurized dataset
- Definition Classes
- CNTKModel → Transformer
-
def
transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" )
-
def
transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" ) @varargs()
-
def
transformSchema(schema: StructType): StructType
- Definition Classes
- CNTKModel → PipelineStage
-
def
transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
-
val
uid: String
- Definition Classes
- CNTKModel → BasicLogging → Identifiable
-
val
ver: String
- Definition Classes
- BasicLogging
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
def
write: MLWriter
- Definition Classes
- ComplexParamsWritable → MLWritable