VowpalWabbitClassifier

Companion object VowpalWabbitClassifier

class VowpalWabbitClassifier extends ProbabilisticClassifier[Row, VowpalWabbitClassifier, VowpalWabbitClassificationModel] with VowpalWabbitBaseSpark with ComplexParamsWritable with SynapseMLLogging

VowpalWabbit exposed as SparkML classifier.

Linear Supertypes

SynapseMLLogging, VowpalWabbitBaseSpark, HasAdditionalFeatures, HasWeightCol, VowpalWabbitBaseLearner, VowpalWabbitBase, ComplexParamsWritable, MLWritable, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, ProbabilisticClassifier[Row, VowpalWabbitClassifier, VowpalWabbitClassificationModel], ProbabilisticClassifierParams, HasThresholds, HasProbabilityCol, Classifier[Row, VowpalWabbitClassifier, VowpalWabbitClassificationModel], ClassifierParams, HasRawPredictionCol, Predictor[Row, VowpalWabbitClassifier, VowpalWabbitClassificationModel], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Estimator[VowpalWabbitClassificationModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any

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By Inheritance

Inherited

VowpalWabbitClassifier
SynapseMLLogging
VowpalWabbitBaseSpark
HasAdditionalFeatures
HasWeightCol
VowpalWabbitBaseLearner
VowpalWabbitBase
ComplexParamsWritable
MLWritable
Wrappable
DotnetWrappable
RWrappable
PythonWrappable
BaseWrappable
ProbabilisticClassifier
ProbabilisticClassifierParams
HasThresholds
HasProbabilityCol
Classifier
ClassifierParams
HasRawPredictionCol
Predictor
PredictorParams
HasPredictionCol
HasFeaturesCol
HasLabelCol
Estimator
PipelineStage
Logging
Params
Serializable
Serializable
Identifiable
AnyRef
Any

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Visibility

Public
All

Instance Constructors

new VowpalWabbitClassifier()
new VowpalWabbitClassifier(uid: String)

Type Members

implicit class SpecificParamAppender extends AnyRef

Definition Classes
VowpalWabbitBase
type VowpalWabbitLabelSetFunc = (Row, VowpalWabbitExample) ⇒ Unit

Definition Classes
VowpalWabbitBaseSpark

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def $[T](param: Param[T]): T

Attributes
protected
Definition Classes
Params
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
val additionalFeatures: StringArrayParam

Definition Classes
HasAdditionalFeatures
def appendExtraParams(sb: ParamsStringBuilder): ParamsStringBuilder
Override to add parameters specific to subclass.
Override to add parameters specific to subclass.

Attributes
protected
Definition Classes
VowpalWabbitBase
final def asInstanceOf[T0]: T0

Definition Classes
Any
def buildCommandLineArguments(vwArgs: String, contextArgs: ⇒ String = ""): String

Attributes
protected
Definition Classes
VowpalWabbitBase
lazy val classNameHelper: String

Attributes
protected
Definition Classes
BaseWrappable
final def clear(param: Param[_]): VowpalWabbitClassifier.this.type

Definition Classes
Params
def clone(): AnyRef

Attributes
protected[lang]
Definition Classes
AnyRef
Annotations
@throws( ... ) @native()
def companionModelClassName: String

Attributes
protected
Definition Classes
BaseWrappable
def copy(extra: ParamMap): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitClassifier → Predictor → Estimator → PipelineStage → Params
def copyValues[T <: Params](to: T, extra: ParamMap): T

Attributes
protected
Definition Classes
Params
lazy val copyrightLines: String

Attributes
protected
Definition Classes
BaseWrappable
def createLabelSetter(schema: StructType): (Row, VowpalWabbitExample) ⇒ Unit

Attributes
protected
Definition Classes
VowpalWabbitClassifier → VowpalWabbitBaseSpark
final def defaultCopy[T <: Params](extra: ParamMap): T

Attributes
protected
Definition Classes
Params
def dotnetAdditionalMethods: String

Definition Classes
DotnetWrappable
def dotnetClass(): String

Attributes
protected
Definition Classes
DotnetWrappable
lazy val dotnetClassName: String

Attributes
protected
Definition Classes
DotnetWrappable
lazy val dotnetClassNameString: String

Attributes
protected
Definition Classes
DotnetWrappable
lazy val dotnetClassWrapperName: String

Attributes
protected
Definition Classes
DotnetWrappable
lazy val dotnetCopyrightLines: String

Attributes
protected
Definition Classes
DotnetWrappable
def dotnetExtraEstimatorImports: String

Attributes
protected
Definition Classes
DotnetWrappable
def dotnetExtraMethods: String

Attributes
protected
Definition Classes
DotnetWrappable
lazy val dotnetInternalWrapper: Boolean

Attributes
protected
Definition Classes
DotnetWrappable
def dotnetMLReadWriteMethods: String

Attributes
protected
Definition Classes
DotnetWrappable
lazy val dotnetNamespace: String

Attributes
protected
Definition Classes
DotnetWrappable
lazy val dotnetObjectBaseClass: String

Attributes
protected
Definition Classes
DotnetWrappable
def dotnetParamGetter(p: Param[_]): String

Attributes
protected
Definition Classes
DotnetWrappable
def dotnetParamGetters: String

Attributes
protected
Definition Classes
DotnetWrappable
def dotnetParamSetter(p: Param[_]): String

Attributes
protected
Definition Classes
DotnetWrappable
def dotnetParamSetters: String

Attributes
protected
Definition Classes
DotnetWrappable
def dotnetWrapAsTypeMethod: String

Attributes
protected
Definition Classes
DotnetWrappable
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def executeWithVowpalWabbit[T](block: (VowpalWabbitNative) ⇒ T): T
wrap the block w/ a VW instance that will be closed when the block is done.
wrap the block w/ a VW instance that will be closed when the block is done.

Attributes
protected
Definition Classes
VowpalWabbitBase
def explainParam(param: Param[_]): String

Definition Classes
Params
def explainParams(): String

Definition Classes
Params
def extractInstances(dataset: Dataset[_], numClasses: Int): RDD[Instance]

Attributes
protected
Definition Classes
ClassifierParams
def extractInstances(dataset: Dataset[_], validateInstance: (Instance) ⇒ Unit): RDD[Instance]

Attributes
protected
Definition Classes
PredictorParams
def extractInstances(dataset: Dataset[_]): RDD[Instance]

Attributes
protected
Definition Classes
PredictorParams
def extractLabeledPoints(dataset: Dataset[_], numClasses: Int): RDD[LabeledPoint]

Attributes
protected
Definition Classes
Classifier
def extractLabeledPoints(dataset: Dataset[_]): RDD[LabeledPoint]

Attributes
protected
Definition Classes
Predictor
final def extractParamMap(): ParamMap

Definition Classes
Params
final def extractParamMap(extra: ParamMap): ParamMap

Definition Classes
Params
final val featuresCol: Param[String]

Definition Classes
HasFeaturesCol
def finalize(): Unit

Attributes
protected[lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def fit(dataset: Dataset[_]): VowpalWabbitClassificationModel

Definition Classes
Predictor → Estimator
def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[VowpalWabbitClassificationModel]

Definition Classes
Estimator
Annotations
@Since( "2.0.0" )
def fit(dataset: Dataset[_], paramMap: ParamMap): VowpalWabbitClassificationModel

Definition Classes
Estimator
Annotations
@Since( "2.0.0" )
def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): VowpalWabbitClassificationModel

Definition Classes
Estimator
Annotations
@Since( "2.0.0" ) @varargs()
final def get[T](param: Param[T]): Option[T]

Definition Classes
Params
def getAdditionalColumns: Seq[String]

Attributes
protected
Definition Classes
VowpalWabbitBaseSpark
def getAdditionalFeatures: Array[String]

Definition Classes
HasAdditionalFeatures
def getAsFloat(schema: StructType, idx: Int): (Row) ⇒ Float

Attributes
protected
Definition Classes
VowpalWabbitBaseLearner
def getAsInt(schema: StructType, idx: Int): (Row) ⇒ Int

Attributes
protected
Definition Classes
VowpalWabbitBaseLearner
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
Annotations
@native()
def getCommandLineArgs: ParamsStringBuilder

Attributes
protected
Definition Classes
VowpalWabbitBase
final def getDefault[T](param: Param[T]): Option[T]

Definition Classes
Params
final def getFeaturesCol: String

Definition Classes
HasFeaturesCol
def getHashSeed: Int

Definition Classes
VowpalWabbitBase
def getIgnoreNamespaces: String

Definition Classes
VowpalWabbitBase
def getInitialModel: Array[Byte]

Definition Classes
VowpalWabbitBase
def getInputColumns: Seq[String]

Attributes
protected
Definition Classes
VowpalWabbitBaseSpark → VowpalWabbitBase
def getInteractions: Array[String]

Definition Classes
VowpalWabbitBase
def getL1: Double

Definition Classes
VowpalWabbitBase
def getL2: Double

Definition Classes
VowpalWabbitBase
final def getLabelCol: String

Definition Classes
HasLabelCol
def getLabelConversion: Boolean
def getLearningRate: Double

Definition Classes
VowpalWabbitBase
def getNumBits: Int

Definition Classes
VowpalWabbitBase
def getNumClasses: Int
def getNumClasses(dataset: Dataset[_], maxNumClasses: Int): Int

Attributes
protected
Definition Classes
Classifier
def getNumPasses: Int

Definition Classes
VowpalWabbitBase
def getNumSyncsPerPass: Int

Definition Classes
VowpalWabbitBase
final def getOrDefault[T](param: Param[T]): T

Definition Classes
Params
def getParam(paramName: String): Param[Any]

Definition Classes
Params
def getParamInfo(p: Param[_]): ParamInfo[_]

Definition Classes
BaseWrappable
def getPassThroughArgs: String

Definition Classes
VowpalWabbitBase
def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]

Attributes
protected
Definition Classes
SynapseMLLogging
def getPowerT: Double

Definition Classes
VowpalWabbitBase
final def getPredictionCol: String

Definition Classes
HasPredictionCol
def getPredictionIdCol: String

Definition Classes
VowpalWabbitBaseLearner
final def getProbabilityCol: String

Definition Classes
HasProbabilityCol
final def getRawPredictionCol: String

Definition Classes
HasRawPredictionCol
def getSplitCol: String

Definition Classes
VowpalWabbitBaseLearner
def getSplitColValues: Array[String]

Definition Classes
VowpalWabbitBaseLearner
def getThresholds: Array[Double]

Definition Classes
HasThresholds
def getUseBarrierExecutionMode: Boolean

Definition Classes
VowpalWabbitBase
def getWeightCol: String

Definition Classes
HasWeightCol
def getWeightGetter(schema: StructType): (Row) ⇒ Float
default weight to 1 if not provided
default weight to 1 if not provided
schema
the schema to fetch weight from
returns
an accessor method used to fetch the weight

Attributes
protected
Definition Classes
VowpalWabbitBaseSpark
final def hasDefault[T](param: Param[T]): Boolean

Definition Classes
Params
def hasParam(paramName: String): Boolean

Definition Classes
Params
def hashCode(): Int

Definition Classes
AnyRef → Any
Annotations
@native()
val hashSeed: IntParam

Definition Classes
VowpalWabbitBase
val ignoreNamespaces: Param[String]

Definition Classes
VowpalWabbitBase
val initialModel: ByteArrayParam

Definition Classes
VowpalWabbitBase
def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

Attributes
protected
Definition Classes
Logging
def initializeLogIfNecessary(isInterpreter: Boolean): Unit

Attributes
protected
Definition Classes
Logging
def interPassSyncSchedule(df: DataFrame): VowpalWabbitSyncSchedule
initialize sync schedule.
initialize sync schedule. this might trigger computation (e.g. number of rows per partition)
df
the input dataframe used to compute the schedules' steps
returns
the synchronization schedule

Attributes
protected
Definition Classes
VowpalWabbitBase
Note
this is supposed to be executed on the driver
val interactions: StringArrayParam

Definition Classes
VowpalWabbitBase
final def isDefined(param: Param[_]): Boolean

Definition Classes
Params
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def isSet(param: Param[_]): Boolean

Definition Classes
Params
def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
val l1: DoubleParam

Definition Classes
VowpalWabbitBase
val l2: DoubleParam

Definition Classes
VowpalWabbitBase
final val labelCol: Param[String]

Definition Classes
HasLabelCol
val labelConversion: BooleanParam
val learningRate: DoubleParam

Definition Classes
VowpalWabbitBase
def log: Logger

Attributes
protected
Definition Classes
Logging
def logBase(info: Map[String, String], featureName: Option[String]): Unit

Attributes
protected
Definition Classes
SynapseMLLogging
def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit

Attributes
protected
Definition Classes
SynapseMLLogging
def logClass(featureName: String): Unit

Definition Classes
SynapseMLLogging
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
SynapseMLLogging
def logFit[T](f: ⇒ T, columns: Int): T

Definition Classes
SynapseMLLogging
def logInfo(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logName: String

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logTransform[T](f: ⇒ T, columns: Int): T

Definition Classes
SynapseMLLogging
def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T

Definition Classes
SynapseMLLogging
def logWarning(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def makeDotnetFile(conf: CodegenConfig): Unit

Definition Classes
DotnetWrappable
def makePyFile(conf: CodegenConfig): Unit

Definition Classes
PythonWrappable
def makeRFile(conf: CodegenConfig): Unit

Definition Classes
RWrappable
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()
val numBits: IntParam

Definition Classes
VowpalWabbitBase
val numClasses: IntParam
val numPasses: IntParam

Definition Classes
VowpalWabbitBase
val numSyncsPerPass: IntParam

Definition Classes
VowpalWabbitBase
lazy val params: Array[Param[_]]

Definition Classes
Params
val passThroughArgs: Param[String]

Definition Classes
VowpalWabbitBase
val powerT: DoubleParam

Definition Classes
VowpalWabbitBase
final val predictionCol: Param[String]

Definition Classes
HasPredictionCol
val predictionIdCol: Param[String]

Definition Classes
VowpalWabbitBaseLearner
def prepareDataSet(dataset: Dataset[_]): DataFrame

Attributes
protected
Definition Classes
VowpalWabbitBase
final val probabilityCol: Param[String]

Definition Classes
HasProbabilityCol
def pyAdditionalMethods: String

Definition Classes
PythonWrappable
lazy val pyClassDoc: String

Attributes
protected
Definition Classes
PythonWrappable
lazy val pyClassName: String

Attributes
protected
Definition Classes
PythonWrappable
def pyExtraEstimatorImports: String

Attributes
protected
Definition Classes
PythonWrappable
def pyExtraEstimatorMethods: String

Attributes
protected
Definition Classes
PythonWrappable
lazy val pyInheritedClasses: Seq[String]

Attributes
protected
Definition Classes
PythonWrappable
def pyInitFunc(): String

Definition Classes
PythonWrappable
lazy val pyInternalWrapper: Boolean

Attributes
protected
Definition Classes
VowpalWabbitClassifier → VowpalWabbitBase → 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
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
final val rawPredictionCol: Param[String]

Definition Classes
HasRawPredictionCol
def save(path: String): Unit

Definition Classes
MLWritable
Annotations
@Since( "1.6.0" ) @throws( ... )
final def set(paramPair: ParamPair[_]): VowpalWabbitClassifier.this.type

Attributes
protected
Definition Classes
Params
final def set(param: String, value: Any): VowpalWabbitClassifier.this.type

Attributes
protected
Definition Classes
Params
final def set[T](param: Param[T], value: T): VowpalWabbitClassifier.this.type

Definition Classes
Params
def setAdditionalFeatures(value: Array[String]): VowpalWabbitClassifier.this.type

Definition Classes
HasAdditionalFeatures
final def setDefault(paramPairs: ParamPair[_]*): VowpalWabbitClassifier.this.type

Attributes
protected
Definition Classes
Params
final def setDefault[T](param: Param[T], value: T): VowpalWabbitClassifier.this.type

Attributes
protected
Definition Classes
Params
def setFeaturesCol(value: String): VowpalWabbitClassifier

Definition Classes
Predictor
def setHashSeed(value: Int): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBase
def setIgnoreNamespaces(value: String): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBase
def setInitialModel(value: Array[Byte]): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBase
def setInteractions(value: Array[String]): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBase
def setL1(value: Double): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBase
def setL2(value: Double): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBase
def setLabelCol(value: String): VowpalWabbitClassifier

Definition Classes
Predictor
def setLabelConversion(value: Boolean): VowpalWabbitClassifier.this.type
def setLearningRate(value: Double): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBase
def setNumBits(value: Int): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBase
def setNumClasses(value: Int): VowpalWabbitClassifier.this.type
def setNumPasses(value: Int): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBase
def setNumSyncsPerPass(value: Int): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBase
def setPassThroughArgs(value: String): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBase
def setPowerT(value: Double): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBase
def setPredictionCol(value: String): VowpalWabbitClassifier

Definition Classes
Predictor
def setPredictionIdCol(value: String): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBaseLearner
def setProbabilityCol(value: String): VowpalWabbitClassifier

Definition Classes
ProbabilisticClassifier
def setRawPredictionCol(value: String): VowpalWabbitClassifier

Definition Classes
Classifier
def setSplitCol(value: String): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBaseLearner
def setSplitColValues(value: Array[String]): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBaseLearner
def setThresholds(value: Array[Double]): VowpalWabbitClassifier

Definition Classes
ProbabilisticClassifier
def setUseBarrierExecutionMode(value: Boolean): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBase
def setWeightCol(value: String): VowpalWabbitClassifier.this.type

Definition Classes
HasWeightCol
val splitCol: Param[String]

Definition Classes
VowpalWabbitBaseLearner
val splitColValues: StringArrayParam

Definition Classes
VowpalWabbitBaseLearner
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
val thisStage: Params

Attributes
protected
Definition Classes
BaseWrappable
val thresholds: DoubleArrayParam

Definition Classes
HasThresholds
def toString(): String

Definition Classes
Identifiable → AnyRef → Any
def train(dataset: Dataset[_]): VowpalWabbitClassificationModel

Attributes
protected
Definition Classes
VowpalWabbitClassifier → Predictor
def trainDistributedExternal[T <: VowpalWabbitBaseModel](df: DataFrame, model: T): T

Attributes
protected
Definition Classes
VowpalWabbitBaseLearner
def trainFromRows(schema: StructType, inputRows: Iterator[Row], ctx: TrainContext): Unit

Attributes
protected
Definition Classes
VowpalWabbitBaseSpark → VowpalWabbitBaseLearner
def trainInternal[T <: VowpalWabbitBaseModel](dataset: Dataset[_], model: T): T
Main training loop
Main training loop
dataset
input data.
returns
binary VW model.

Attributes
protected
Definition Classes
VowpalWabbitBaseLearner
def trainInternalDistributed(df: DataFrame, vwArgs: ParamsStringBuilder, numTasks: Int): Seq[TrainingResult]
Setup spanning tree and invoke training.
Setup spanning tree and invoke training.
df
input data.
vwArgs
VW command line arguments.
numTasks
number of target tasks.

Attributes
protected
Definition Classes
VowpalWabbitBaseLearner
def transformSchema(schema: StructType): StructType

Definition Classes
Predictor → PipelineStage
def transformSchema(schema: StructType, logging: Boolean): StructType

Attributes
protected
Definition Classes
PipelineStage
Annotations
@DeveloperApi()
val uid: String

Definition Classes
VowpalWabbitClassifier → SynapseMLLogging → Identifiable
val useBarrierExecutionMode: BooleanParam

Definition Classes
VowpalWabbitBase
def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType

Attributes
protected
Definition Classes
ProbabilisticClassifierParams → ClassifierParams → PredictorParams
def validateLabel(label: Double, numClasses: Int): Unit

Attributes
protected
Definition Classes
Classifier
def validateNumClasses(numClasses: Int): Unit

Attributes
protected
Definition Classes
Classifier
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()
val weightCol: Param[String]
The name of the weight column
The name of the weight column

Definition Classes
HasWeightCol
def write: MLWriter

Definition Classes
ComplexParamsWritable → MLWritable

Deprecated Value Members

def getArgs: String

Definition Classes
VowpalWabbitBase
Annotations
@deprecated
Deprecated
(Since version 0.9.6) Please use 'getPassThroughArgs'.
def setArgs(value: String): VowpalWabbitClassifier.this.type

Definition Classes
VowpalWabbitBase
Annotations
@deprecated
Deprecated
(Since version 0.9.6) Please use 'setPassThroughArgs'.

Packages

VowpalWabbitClassifier 

Companion object VowpalWabbitClassifier

class VowpalWabbitClassifier extends ProbabilisticClassifier[Row, VowpalWabbitClassifier, VowpalWabbitClassificationModel] with VowpalWabbitBaseSpark with ComplexParamsWritable with SynapseMLLogging

Instance Constructors

Type Members

Value Members

Deprecated Value Members

Inherited from SynapseMLLogging

Inherited from VowpalWabbitBaseSpark

Inherited from HasAdditionalFeatures

Inherited from HasWeightCol

Inherited from VowpalWabbitBaseLearner

Inherited from VowpalWabbitBase

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from DotnetWrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from ProbabilisticClassifier[Row, VowpalWabbitClassifier, VowpalWabbitClassificationModel]

Inherited from ProbabilisticClassifierParams

Inherited from HasThresholds

Inherited from HasProbabilityCol

Inherited from Classifier[Row, VowpalWabbitClassifier, VowpalWabbitClassificationModel]

Inherited from ClassifierParams

Inherited from HasRawPredictionCol

Inherited from Predictor[Row, VowpalWabbitClassifier, VowpalWabbitClassificationModel]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Estimator[VowpalWabbitClassificationModel]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

Ungrouped

VowpalWabbitClassifier