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

Linear Supertypes
BasicLogging, Wrappable, 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. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. ComplexParamsWritable
  8. MLWritable
  9. VowpalWabbitBaseModel
  10. HasAdditionalFeatures
  11. HasRawPredictionCol
  12. RegressionModel
  13. PredictionModel
  14. PredictorParams
  15. HasPredictionCol
  16. HasFeaturesCol
  17. HasLabelCol
  18. Model
  19. Transformer
  20. PipelineStage
  21. Logging
  22. Params
  23. Serializable
  24. Serializable
  25. Identifiable
  26. AnyRef
  27. 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. lazy val example: VowpalWabbitExample
    Definition Classes
    VowpalWabbitBaseModel
    Annotations
    @transient()
  5. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  6. def explainParams(): String
    Definition Classes
    Params
  7. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  8. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  9. final val featuresCol: Param[String]
    Definition Classes
    HasFeaturesCol
  10. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  11. def getAdditionalFeatures: Array[String]
    Definition Classes
    HasAdditionalFeatures
  12. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  13. final def getFeaturesCol: String
    Definition Classes
    HasFeaturesCol
  14. final def getLabelCol: String
    Definition Classes
    HasLabelCol
  15. def getModel: Array[Byte]
    Definition Classes
    VowpalWabbitBaseModel
  16. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  17. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  18. def getPerformanceStatistics: DataFrame
    Definition Classes
    VowpalWabbitBaseModel
  19. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  20. final def getRawPredictionCol: String
    Definition Classes
    HasRawPredictionCol
  21. def getReadableModel: String
    Definition Classes
    VowpalWabbitBaseModel
  22. def getTestArgs: String
    Definition Classes
    VowpalWabbitBaseModel
  23. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  24. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  25. def hasParent: Boolean
    Definition Classes
    Model
  26. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  27. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  28. final val labelCol: Param[String]
    Definition Classes
    HasLabelCol
  29. def logClass(): Unit
    Definition Classes
    BasicLogging
  30. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  31. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  32. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  33. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  34. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  35. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  36. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  37. val model: ByteArrayParam
    Definition Classes
    VowpalWabbitBaseModel
  38. def numFeatures: Int
    Definition Classes
    PredictionModel
    Annotations
    @Since( "1.6.0" )
  39. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  40. var parent: Estimator[VowpalWabbitRegressionModel]
    Definition Classes
    Model
  41. val performanceStatistics: DataFrameParam
    Definition Classes
    VowpalWabbitBaseModel
  42. def predict(features: Row): Double
    Definition Classes
    VowpalWabbitRegressionModel → PredictionModel
  43. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  44. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  45. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  46. final val rawPredictionCol: Param[String]
    Definition Classes
    HasRawPredictionCol
  47. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  48. def saveNativeModel(path: String): Unit
    Definition Classes
    VowpalWabbitBaseModel
  49. final def set[T](param: Param[T], value: T): VowpalWabbitRegressionModel.this.type
    Definition Classes
    Params
  50. def setAdditionalFeatures(value: Array[String]): VowpalWabbitRegressionModel.this.type
    Definition Classes
    HasAdditionalFeatures
  51. def setFeaturesCol(value: String): VowpalWabbitRegressionModel
    Definition Classes
    PredictionModel
  52. def setModel(v: Array[Byte]): VowpalWabbitRegressionModel.this.type
    Definition Classes
    VowpalWabbitBaseModel
  53. def setParent(parent: Estimator[VowpalWabbitRegressionModel]): VowpalWabbitRegressionModel
    Definition Classes
    Model
  54. def setPerformanceStatistics(v: DataFrame): VowpalWabbitRegressionModel.this.type
    Definition Classes
    VowpalWabbitBaseModel
  55. def setPredictionCol(value: String): VowpalWabbitRegressionModel
    Definition Classes
    PredictionModel
  56. def setTestArgs(value: String): VowpalWabbitRegressionModel.this.type
    Definition Classes
    VowpalWabbitBaseModel
  57. val testArgs: Param[String]
    Definition Classes
    VowpalWabbitBaseModel
  58. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  59. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    PredictionModel → Transformer
  60. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  61. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  62. def transformSchema(schema: StructType): StructType
    Definition Classes
    PredictionModel → PipelineStage
  63. val uid: String
    Definition Classes
    VowpalWabbitRegressionModel → BasicLogging → Identifiable
  64. val ver: String
    Definition Classes
    BasicLogging
  65. lazy val vw: VowpalWabbitNative
    Definition Classes
    VowpalWabbitBaseModel
    Annotations
    @transient()
  66. lazy val vwArgs: VowpalWabbitArguments
    Definition Classes
    VowpalWabbitBaseModel
    Annotations
    @transient()
  67. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable