c
com.microsoft.azure.synapse.ml.vw
VowpalWabbitRegressionModel
Companion object VowpalWabbitRegressionModel
class VowpalWabbitRegressionModel extends RegressionModel[Row, VowpalWabbitRegressionModel] with VowpalWabbitBaseModel with ComplexParamsWritable with Wrappable with BasicLogging
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- VowpalWabbitRegressionModel
- BasicLogging
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- ComplexParamsWritable
- MLWritable
- VowpalWabbitBaseModel
- HasAdditionalFeatures
- HasRawPredictionCol
- RegressionModel
- PredictionModel
- PredictorParams
- HasPredictionCol
- HasFeaturesCol
- HasLabelCol
- Model
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!=(arg0: Any): Boolean
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final
def
##(): Int
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def
$[T](param: Param[T]): T
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final
def
==(arg0: Any): Boolean
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val
additionalFeatures: StringArrayParam
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final
def
asInstanceOf[T0]: T0
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lazy val
classNameHelper: String
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final
def
clear(param: Param[_]): VowpalWabbitRegressionModel.this.type
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def
clone(): AnyRef
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def
companionModelClassName: String
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def
copy(extra: ParamMap): VowpalWabbitRegressionModel.this.type
- Definition Classes
- VowpalWabbitRegressionModel → Model → Transformer → PipelineStage → Params
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def
copyValues[T <: Params](to: T, extra: ParamMap): T
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lazy val
copyrightLines: String
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final
def
defaultCopy[T <: Params](extra: ParamMap): T
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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lazy val
example: VowpalWabbitExample
- Definition Classes
- VowpalWabbitBaseModel
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def
explainParam(param: Param[_]): String
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def
explainParams(): String
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def
extractInstances(dataset: Dataset[_], validateInstance: (Instance) ⇒ Unit): RDD[Instance]
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def
extractInstances(dataset: Dataset[_]): RDD[Instance]
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final
def
extractParamMap(): ParamMap
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final
def
extractParamMap(extra: ParamMap): ParamMap
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final
val
featuresCol: Param[String]
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def
featuresDataType: DataType
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def
finalize(): Unit
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get[T](param: Param[T]): Option[T]
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getAdditionalFeatures: Array[String]
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def
getClass(): Class[_]
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final
def
getDefault[T](param: Param[T]): Option[T]
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final
def
getFeaturesCol: String
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final
def
getLabelCol: String
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def
getModel: Array[Byte]
- Definition Classes
- VowpalWabbitBaseModel
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final
def
getOrDefault[T](param: Param[T]): T
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def
getParam(paramName: String): Param[Any]
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def
getPerformanceStatistics: DataFrame
- Definition Classes
- VowpalWabbitBaseModel
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final
def
getPredictionCol: String
- Definition Classes
- HasPredictionCol
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final
def
getRawPredictionCol: String
- Definition Classes
- HasRawPredictionCol
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def
getReadableModel: String
- Definition Classes
- VowpalWabbitBaseModel
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def
getTestArgs: String
- Definition Classes
- VowpalWabbitBaseModel
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final
def
hasDefault[T](param: Param[T]): Boolean
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def
hasParam(paramName: String): Boolean
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def
hasParent: Boolean
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def
hashCode(): Int
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def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
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final
def
isDefined(param: Param[_]): Boolean
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final
def
isInstanceOf[T0]: Boolean
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final
def
isSet(param: Param[_]): Boolean
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def
isTraceEnabled(): Boolean
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final
val
labelCol: Param[String]
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def
log: Logger
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def
logBase(methodName: String): Unit
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def
logClass(): Unit
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def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
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def
logDebug(msg: ⇒ String): Unit
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def
logError(msg: ⇒ String, throwable: Throwable): Unit
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logError(msg: ⇒ String): Unit
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def
logErrorBase(methodName: String, e: Exception): Unit
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def
logFit[T](f: ⇒ T): T
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def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
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def
logInfo(msg: ⇒ String): Unit
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def
logName: String
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def
logPredict[T](f: ⇒ T): T
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def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
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def
logTrace(msg: ⇒ String): Unit
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def
logTrain[T](f: ⇒ T): T
- Definition Classes
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def
logTransform[T](f: ⇒ T): T
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def
logVerb[T](verb: String, f: ⇒ T): T
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def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
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def
logWarning(msg: ⇒ String): Unit
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def
makePyFile(conf: CodegenConfig): Unit
- Definition Classes
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def
makeRFile(conf: CodegenConfig): Unit
- Definition Classes
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val
model: ByteArrayParam
- Definition Classes
- VowpalWabbitBaseModel
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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- Annotations
- @native()
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final
def
notifyAll(): Unit
- Definition Classes
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- @native()
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def
numFeatures: Int
- Definition Classes
- PredictionModel
- Annotations
- @Since( "1.6.0" )
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lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
var
parent: Estimator[VowpalWabbitRegressionModel]
- Definition Classes
- Model
-
val
performanceStatistics: DataFrameParam
- Definition Classes
- VowpalWabbitBaseModel
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def
predict(features: Row): Double
- Definition Classes
- VowpalWabbitRegressionModel → PredictionModel
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def
predictInternal(featureColIndices: Seq[NamespaceInfo], row: Row): Double
- Attributes
- protected
- Definition Classes
- VowpalWabbitBaseModel
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final
val
predictionCol: Param[String]
- Definition Classes
- HasPredictionCol
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def
pyAdditionalMethods: String
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lazy val
pyClassDoc: String
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lazy val
pyClassName: String
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def
pyExtraEstimatorImports: String
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def
pyExtraEstimatorMethods: String
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lazy val
pyInheritedClasses: Seq[String]
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- PythonWrappable
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def
pyInitFunc(): String
- Definition Classes
- PythonWrappable
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lazy val
pyInternalWrapper: Boolean
- Attributes
- protected
- Definition Classes
- VowpalWabbitRegressionModel → PythonWrappable
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lazy val
pyObjectBaseClass: String
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- protected
- Definition Classes
- PythonWrappable
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def
pyParamArg[T](p: Param[T]): String
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def
pyParamDefault[T](p: Param[T]): Option[String]
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def
pyParamGetter(p: Param[_]): String
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def
pyParamSetter(p: Param[_]): String
- Attributes
- protected
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def
pyParamsArgs: String
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- protected
- Definition Classes
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def
pyParamsDefaults: String
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- protected
- Definition Classes
- PythonWrappable
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lazy val
pyParamsDefinitions: String
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- protected
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- PythonWrappable
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def
pyParamsGetters: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamsSetters: String
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def
pythonClass(): String
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def
rClass(): String
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def
rDocString: String
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def
rExtraBodyLines: String
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def
rExtraInitLines: String
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lazy val
rFuncName: String
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- RWrappable
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lazy val
rInternalWrapper: Boolean
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- protected
- Definition Classes
- RWrappable
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def
rParamArg[T](p: Param[T]): String
- Attributes
- protected
- Definition Classes
- RWrappable
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def
rParamsArgs: String
- Attributes
- protected
- Definition Classes
- RWrappable
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def
rSetterLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
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final
val
rawPredictionCol: Param[String]
- Definition Classes
- HasRawPredictionCol
-
def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
-
def
saveNativeModel(path: String): Unit
- Definition Classes
- VowpalWabbitBaseModel
-
final
def
set(paramPair: ParamPair[_]): VowpalWabbitRegressionModel.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set(param: String, value: Any): VowpalWabbitRegressionModel.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set[T](param: Param[T], value: T): VowpalWabbitRegressionModel.this.type
- Definition Classes
- Params
-
def
setAdditionalFeatures(value: Array[String]): VowpalWabbitRegressionModel.this.type
- Definition Classes
- HasAdditionalFeatures
-
final
def
setDefault(paramPairs: ParamPair[_]*): VowpalWabbitRegressionModel.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): VowpalWabbitRegressionModel.this.type
- Attributes
- protected
- Definition Classes
- Params
-
def
setFeaturesCol(value: String): VowpalWabbitRegressionModel
- Definition Classes
- PredictionModel
-
def
setModel(v: Array[Byte]): VowpalWabbitRegressionModel.this.type
- Definition Classes
- VowpalWabbitBaseModel
-
def
setParent(parent: Estimator[VowpalWabbitRegressionModel]): VowpalWabbitRegressionModel
- Definition Classes
- Model
-
def
setPerformanceStatistics(v: DataFrame): VowpalWabbitRegressionModel.this.type
- Definition Classes
- VowpalWabbitBaseModel
-
def
setPredictionCol(value: String): VowpalWabbitRegressionModel
- Definition Classes
- PredictionModel
-
def
setTestArgs(value: String): VowpalWabbitRegressionModel.this.type
- Definition Classes
- VowpalWabbitBaseModel
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
val
testArgs: Param[String]
- Definition Classes
- VowpalWabbitBaseModel
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
def
transform(dataset: Dataset[_]): DataFrame
- Definition Classes
- PredictionModel → 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
transformImpl(dataset: Dataset[_]): DataFrame
- Attributes
- protected
- Definition Classes
- VowpalWabbitRegressionModel → PredictionModel
-
def
transformImplInternal(dataset: Dataset[_]): DataFrame
- Attributes
- protected
- Definition Classes
- VowpalWabbitBaseModel
-
def
transformSchema(schema: StructType): StructType
- Definition Classes
- PredictionModel → PipelineStage
-
def
transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
-
val
uid: String
- Definition Classes
- VowpalWabbitRegressionModel → BasicLogging → Identifiable
-
def
validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType
- Attributes
- protected
- Definition Classes
- PredictorParams
-
val
ver: String
- Definition Classes
- BasicLogging
-
lazy val
vw: VowpalWabbitNative
- Definition Classes
- VowpalWabbitBaseModel
- Annotations
- @transient()
-
lazy val
vwArgs: VowpalWabbitArguments
- Definition Classes
- VowpalWabbitBaseModel
- Annotations
- @transient()
-
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