class VowpalWabbitRegressor extends BaseRegressor[Row, VowpalWabbitRegressor, VowpalWabbitRegressionModel] with VowpalWabbitBaseSpark with ComplexParamsWritable with SynapseMLLogging
VowpalWabbit exposed as SparkML regressor.
Linear Supertypes
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Inherited
- VowpalWabbitRegressor
- SynapseMLLogging
- VowpalWabbitBaseSpark
- HasAdditionalFeatures
- HasWeightCol
- VowpalWabbitBaseLearner
- VowpalWabbitBase
- ComplexParamsWritable
- MLWritable
- Wrappable
- DotnetWrappable
- RWrappable
- PythonWrappable
- BaseWrappable
- BaseRegressor
- Regressor
- Predictor
- PredictorParams
- HasPredictionCol
- HasFeaturesCol
- HasLabelCol
- Estimator
- PipelineStage
- Logging
- Params
- Serializable
- Serializable
- Identifiable
- AnyRef
- Any
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Visibility
- Public
- All
Type Members
-
implicit
class
SpecificParamAppender extends AnyRef
- Definition Classes
- VowpalWabbitBase
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type
VowpalWabbitLabelSetFunc = (Row, VowpalWabbitExample) ⇒ Unit
- Definition Classes
- VowpalWabbitBaseSpark
Value Members
-
val
additionalFeatures: StringArrayParam
- Definition Classes
- HasAdditionalFeatures
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final
def
clear(param: Param[_]): VowpalWabbitRegressor.this.type
- Definition Classes
- Params
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def
copy(extra: ParamMap): VowpalWabbitRegressor
- Definition Classes
- VowpalWabbitRegressor → Predictor → Estimator → PipelineStage → Params
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def
dotnetAdditionalMethods: String
- Definition Classes
- DotnetWrappable
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def
explainParam(param: Param[_]): String
- Definition Classes
- Params
-
def
explainParams(): String
- Definition Classes
- Params
-
final
def
extractParamMap(): ParamMap
- Definition Classes
- Params
-
final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
- Params
-
final
val
featuresCol: Param[String]
- Definition Classes
- HasFeaturesCol
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def
fit(dataset: Dataset[_]): VowpalWabbitRegressionModel
- Definition Classes
- Predictor → Estimator
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def
fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[VowpalWabbitRegressionModel]
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" )
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def
fit(dataset: Dataset[_], paramMap: ParamMap): VowpalWabbitRegressionModel
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" )
-
def
fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): VowpalWabbitRegressionModel
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" ) @varargs()
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final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
def
getAdditionalFeatures: Array[String]
- Definition Classes
- HasAdditionalFeatures
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final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
final
def
getFeaturesCol: String
- Definition Classes
- HasFeaturesCol
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def
getHashSeed: Int
- Definition Classes
- VowpalWabbitBase
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def
getIgnoreNamespaces: String
- Definition Classes
- VowpalWabbitBase
-
def
getInitialModel: Array[Byte]
- Definition Classes
- VowpalWabbitBase
-
def
getInteractions: Array[String]
- Definition Classes
- VowpalWabbitBase
-
def
getL1: Double
- Definition Classes
- VowpalWabbitBase
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def
getL2: Double
- Definition Classes
- VowpalWabbitBase
-
final
def
getLabelCol: String
- Definition Classes
- HasLabelCol
-
def
getLearningRate: Double
- Definition Classes
- VowpalWabbitBase
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def
getNumBits: Int
- Definition Classes
- VowpalWabbitBase
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def
getNumPasses: Int
- Definition Classes
- VowpalWabbitBase
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def
getNumSyncsPerPass: Int
- Definition Classes
- VowpalWabbitBase
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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
getPowerT: Double
- Definition Classes
- VowpalWabbitBase
-
final
def
getPredictionCol: String
- Definition Classes
- HasPredictionCol
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def
getPredictionIdCol: String
- Definition Classes
- VowpalWabbitBaseLearner
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def
getSplitCol: String
- Definition Classes
- VowpalWabbitBaseLearner
-
def
getSplitColValues: Array[String]
- Definition Classes
- VowpalWabbitBaseLearner
-
def
getUseBarrierExecutionMode: Boolean
- Definition Classes
- VowpalWabbitBase
-
def
getWeightCol: String
- Definition Classes
- HasWeightCol
-
final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
-
def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
-
val
hashSeed: IntParam
- Definition Classes
- VowpalWabbitBase
-
val
ignoreNamespaces: Param[String]
- Definition Classes
- VowpalWabbitBase
-
val
initialModel: ByteArrayParam
- Definition Classes
- VowpalWabbitBase
-
val
interactions: StringArrayParam
- Definition Classes
- VowpalWabbitBase
-
final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
- Params
-
final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
-
val
l1: DoubleParam
- Definition Classes
- VowpalWabbitBase
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val
l2: DoubleParam
- Definition Classes
- VowpalWabbitBase
-
final
val
labelCol: Param[String]
- Definition Classes
- HasLabelCol
-
val
learningRate: DoubleParam
- Definition Classes
- VowpalWabbitBase
-
def
logClass(featureName: String): Unit
- Definition Classes
- SynapseMLLogging
-
def
logFit[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
-
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
makeDotnetFile(conf: CodegenConfig): Unit
- Definition Classes
- DotnetWrappable
-
def
makePyFile(conf: CodegenConfig): Unit
- Definition Classes
- PythonWrappable
-
def
makeRFile(conf: CodegenConfig): Unit
- Definition Classes
- RWrappable
-
val
numBits: IntParam
- Definition Classes
- VowpalWabbitBase
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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
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val
predictionIdCol: Param[String]
- Definition Classes
- VowpalWabbitBaseLearner
-
def
pyAdditionalMethods: String
- Definition Classes
- PythonWrappable
-
def
pyInitFunc(): String
- Definition Classes
- PythonWrappable
-
def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
-
final
def
set[T](param: Param[T], value: T): VowpalWabbitRegressor.this.type
- Definition Classes
- Params
-
def
setAdditionalFeatures(value: Array[String]): VowpalWabbitRegressor.this.type
- Definition Classes
- HasAdditionalFeatures
-
def
setFeaturesCol(value: String): VowpalWabbitRegressor
- Definition Classes
- Predictor
-
def
setHashSeed(value: Int): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBase
-
def
setIgnoreNamespaces(value: String): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBase
-
def
setInitialModel(value: Array[Byte]): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBase
-
def
setInteractions(value: Array[String]): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBase
-
def
setL1(value: Double): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBase
-
def
setL2(value: Double): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBase
-
def
setLabelCol(value: String): VowpalWabbitRegressor
- Definition Classes
- Predictor
-
def
setLearningRate(value: Double): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBase
-
def
setNumBits(value: Int): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBase
-
def
setNumPasses(value: Int): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBase
-
def
setNumSyncsPerPass(value: Int): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBase
-
def
setPassThroughArgs(value: String): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBase
-
def
setPowerT(value: Double): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBase
-
def
setPredictionCol(value: String): VowpalWabbitRegressor
- Definition Classes
- Predictor
-
def
setPredictionIdCol(value: String): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBaseLearner
-
def
setSplitCol(value: String): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBaseLearner
-
def
setSplitColValues(value: Array[String]): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBaseLearner
-
def
setUseBarrierExecutionMode(value: Boolean): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBase
-
def
setWeightCol(value: String): VowpalWabbitRegressor.this.type
- Definition Classes
- HasWeightCol
-
val
splitCol: Param[String]
- Definition Classes
- VowpalWabbitBaseLearner
-
val
splitColValues: StringArrayParam
- Definition Classes
- VowpalWabbitBaseLearner
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
def
train(dataset: Dataset[_]): VowpalWabbitRegressionModel
- Definition Classes
- VowpalWabbitRegressor → Predictor
-
def
transformSchema(schema: StructType): StructType
- Definition Classes
- Predictor → PipelineStage
-
val
uid: String
- Definition Classes
- VowpalWabbitRegressor → SynapseMLLogging → Identifiable
-
val
useBarrierExecutionMode: BooleanParam
- Definition Classes
- VowpalWabbitBase
-
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): VowpalWabbitRegressor.this.type
- Definition Classes
- VowpalWabbitBase
- Annotations
- @deprecated
- Deprecated
(Since version 0.9.6) Please use 'setPassThroughArgs'.