class VowpalWabbitRegressionModel extends RegressionModel[Row, VowpalWabbitRegressionModel] with VowpalWabbitBaseModelSpark with ComplexParamsWritable with Wrappable with SynapseMLLogging

Linear Supertypes
SynapseMLLogging, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, ComplexParamsWritable, MLWritable, VowpalWabbitBaseModelSpark, HasAdditionalFeatures, HasRawPredictionCol, VowpalWabbitBaseModel, RegressionModel[Row, VowpalWabbitRegressionModel], PredictionModel[Row, VowpalWabbitRegressionModel], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Model[VowpalWabbitRegressionModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. VowpalWabbitRegressionModel
  2. SynapseMLLogging
  3. Wrappable
  4. DotnetWrappable
  5. RWrappable
  6. PythonWrappable
  7. BaseWrappable
  8. ComplexParamsWritable
  9. MLWritable
  10. VowpalWabbitBaseModelSpark
  11. HasAdditionalFeatures
  12. HasRawPredictionCol
  13. VowpalWabbitBaseModel
  14. RegressionModel
  15. PredictionModel
  16. PredictorParams
  17. HasPredictionCol
  18. HasFeaturesCol
  19. HasLabelCol
  20. Model
  21. Transformer
  22. PipelineStage
  23. Logging
  24. Params
  25. Serializable
  26. Serializable
  27. Identifiable
  28. AnyRef
  29. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

Value Members

  1. val additionalFeatures: StringArrayParam
    Definition Classes
    HasAdditionalFeatures
  2. final def clear(param: Param[_]): VowpalWabbitRegressionModel.this.type
    Definition Classes
    Params
  3. def copy(extra: ParamMap): VowpalWabbitRegressionModel.this.type
    Definition Classes
    VowpalWabbitRegressionModel → Model → Transformer → PipelineStage → Params
  4. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  5. lazy val example: VowpalWabbitExample
    Definition Classes
    VowpalWabbitBaseModelSpark
    Annotations
    @transient()
  6. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  7. def explainParams(): String
    Definition Classes
    Params
  8. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  9. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  10. final val featuresCol: Param[String]
    Definition Classes
    HasFeaturesCol
  11. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  12. def getAdditionalFeatures: Array[String]
    Definition Classes
    HasAdditionalFeatures
  13. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  14. final def getFeaturesCol: String
    Definition Classes
    HasFeaturesCol
  15. final def getLabelCol: String
    Definition Classes
    HasLabelCol
  16. def getModel: Array[Byte]
    Definition Classes
    VowpalWabbitBaseModel
  17. def getOneStepAheadPredictions: DataFrame
    Definition Classes
    VowpalWabbitBaseModel
  18. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  19. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  20. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  21. def getPerformanceStatistics: DataFrame
    Definition Classes
    VowpalWabbitBaseModel
  22. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  23. final def getRawPredictionCol: String
    Definition Classes
    HasRawPredictionCol
  24. def getReadableModel: String
    Definition Classes
    VowpalWabbitBaseModel
  25. def getTestArgs: String
    Definition Classes
    VowpalWabbitBaseModel
  26. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  27. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  28. def hasParent: Boolean
    Definition Classes
    Model
  29. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  30. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  31. final val labelCol: Param[String]
    Definition Classes
    HasLabelCol
  32. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  33. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  34. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  35. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  36. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  37. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  38. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  39. val model: ByteArrayParam
    Definition Classes
    VowpalWabbitBaseModel
  40. def numFeatures: Int
    Definition Classes
    PredictionModel
    Annotations
    @Since( "1.6.0" )
  41. val oneStepAheadPredictions: DataFrameParam
    Definition Classes
    VowpalWabbitBaseModel
  42. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  43. var parent: Estimator[VowpalWabbitRegressionModel]
    Definition Classes
    Model
  44. val performanceStatistics: DataFrameParam
    Definition Classes
    VowpalWabbitBaseModel
  45. def predict(features: Row): Double
    Definition Classes
    VowpalWabbitRegressionModel → PredictionModel
  46. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  47. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  48. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  49. final val rawPredictionCol: Param[String]
    Definition Classes
    HasRawPredictionCol
  50. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  51. def saveNativeModel(path: String): Unit
    Definition Classes
    VowpalWabbitBaseModel
  52. final def set[T](param: Param[T], value: T): VowpalWabbitRegressionModel.this.type
    Definition Classes
    Params
  53. def setAdditionalFeatures(value: Array[String]): VowpalWabbitRegressionModel.this.type
    Definition Classes
    HasAdditionalFeatures
  54. def setFeaturesCol(value: String): VowpalWabbitRegressionModel
    Definition Classes
    PredictionModel
  55. def setModel(v: Array[Byte]): VowpalWabbitRegressionModel.this.type
    Definition Classes
    VowpalWabbitBaseModel
  56. def setOneStepAheadPredictions(v: DataFrame): VowpalWabbitRegressionModel.this.type
    Definition Classes
    VowpalWabbitBaseModel
  57. def setParent(parent: Estimator[VowpalWabbitRegressionModel]): VowpalWabbitRegressionModel
    Definition Classes
    Model
  58. def setPerformanceStatistics(v: DataFrame): VowpalWabbitRegressionModel.this.type
    Definition Classes
    VowpalWabbitBaseModel
  59. def setPredictionCol(value: String): VowpalWabbitRegressionModel
    Definition Classes
    PredictionModel
  60. def setTestArgs(value: String): VowpalWabbitRegressionModel.this.type
    Definition Classes
    VowpalWabbitBaseModel
  61. val testArgs: Param[String]
    Definition Classes
    VowpalWabbitBaseModel
  62. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  63. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    PredictionModel → Transformer
  64. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  65. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  66. def transformSchema(schema: StructType): StructType
    Definition Classes
    PredictionModel → PipelineStage
  67. val uid: String
    Definition Classes
    VowpalWabbitRegressionModel → SynapseMLLogging → Identifiable
  68. val vowpalWabbitPredictionCol: String

    Store the detailed prediction output of VW

    Store the detailed prediction output of VW

    Definition Classes
    VowpalWabbitBaseModelSpark
  69. lazy val vw: VowpalWabbitNative
    Definition Classes
    VowpalWabbitBaseModel
    Annotations
    @transient()
  70. lazy val vwArgs: VowpalWabbitArguments
    Definition Classes
    VowpalWabbitBaseModel
    Annotations
    @transient()
  71. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable