class VowpalWabbitRegressionModel extends RegressionModel[Row, VowpalWabbitRegressionModel] with VowpalWabbitBaseModel with ComplexParamsWritable with Wrappable with BasicLogging

Linear Supertypes
BasicLogging, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, ComplexParamsWritable, MLWritable, VowpalWabbitBaseModel, HasAdditionalFeatures, HasRawPredictionCol, 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. BasicLogging
  3. Wrappable
  4. DotnetWrappable
  5. RWrappable
  6. PythonWrappable
  7. BaseWrappable
  8. ComplexParamsWritable
  9. MLWritable
  10. VowpalWabbitBaseModel
  11. HasAdditionalFeatures
  12. HasRawPredictionCol
  13. RegressionModel
  14. PredictionModel
  15. PredictorParams
  16. HasPredictionCol
  17. HasFeaturesCol
  18. HasLabelCol
  19. Model
  20. Transformer
  21. PipelineStage
  22. Logging
  23. Params
  24. Serializable
  25. Serializable
  26. Identifiable
  27. AnyRef
  28. 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
    VowpalWabbitBaseModel
    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. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  18. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  19. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  20. def getPerformanceStatistics: DataFrame
    Definition Classes
    VowpalWabbitBaseModel
  21. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  22. final def getRawPredictionCol: String
    Definition Classes
    HasRawPredictionCol
  23. def getReadableModel: String
    Definition Classes
    VowpalWabbitBaseModel
  24. def getTestArgs: String
    Definition Classes
    VowpalWabbitBaseModel
  25. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  26. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  27. def hasParent: Boolean
    Definition Classes
    Model
  28. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  29. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  30. final val labelCol: Param[String]
    Definition Classes
    HasLabelCol
  31. def logClass(): Unit
    Definition Classes
    BasicLogging
  32. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  33. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  34. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  35. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  36. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  37. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  38. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  39. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  40. val model: ByteArrayParam
    Definition Classes
    VowpalWabbitBaseModel
  41. def numFeatures: Int
    Definition Classes
    PredictionModel
    Annotations
    @Since( "1.6.0" )
  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 setParent(parent: Estimator[VowpalWabbitRegressionModel]): VowpalWabbitRegressionModel
    Definition Classes
    Model
  57. def setPerformanceStatistics(v: DataFrame): VowpalWabbitRegressionModel.this.type
    Definition Classes
    VowpalWabbitBaseModel
  58. def setPredictionCol(value: String): VowpalWabbitRegressionModel
    Definition Classes
    PredictionModel
  59. def setTestArgs(value: String): VowpalWabbitRegressionModel.this.type
    Definition Classes
    VowpalWabbitBaseModel
  60. val testArgs: Param[String]
    Definition Classes
    VowpalWabbitBaseModel
  61. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  62. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    PredictionModel → Transformer
  63. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  64. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  65. def transformSchema(schema: StructType): StructType
    Definition Classes
    PredictionModel → PipelineStage
  66. val uid: String
    Definition Classes
    VowpalWabbitRegressionModel → BasicLogging → Identifiable
  67. val ver: String
    Definition Classes
    BasicLogging
  68. lazy val vw: VowpalWabbitNative
    Definition Classes
    VowpalWabbitBaseModel
    Annotations
    @transient()
  69. lazy val vwArgs: VowpalWabbitArguments
    Definition Classes
    VowpalWabbitBaseModel
    Annotations
    @transient()
  70. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable