Class

org.apache.spark.ml.odkl

LinearModel

Related Doc: package odkl

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abstract class LinearModel[M <: LinearModel[M]] extends PredictionModel[Vector, M] with DirectPredictionModel[Vector, M] with ModelWithSummary[M] with LinearModelParams with HasWeights

Linear Supertypes
HasWeights, LinearModelParams, ModelWithSummary[M], MLWritable, DirectPredictionModel[Vector, M], HasDirectTransformOption, PredictionModel[Vector, M], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Model[M], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
LinearRegressionModel, LogisticRegressionModel
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. LinearModel
  2. HasWeights
  3. LinearModelParams
  4. ModelWithSummary
  5. MLWritable
  6. DirectPredictionModel
  7. HasDirectTransformOption
  8. PredictionModel
  9. PredictorParams
  10. HasPredictionCol
  11. HasFeaturesCol
  12. HasLabelCol
  13. Model
  14. Transformer
  15. PipelineStage
  16. Logging
  17. Params
  18. Serializable
  19. Serializable
  20. Identifiable
  21. AnyRef
  22. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new LinearModel()

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Abstract Value Members

  1. abstract def create(): M

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    Attributes
    protected
    Definition Classes
    ModelWithSummary

  2. abstract def postProcess(value: Double): Double

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Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params

  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. final def clear(param: Param[_]): LinearModel.this.type

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    Definition Classes
    Params

  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  8. final val coefficients: Param[Vector]

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  9. def copy(summary: ModelSummary, params: ParamMap): M

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    Definition Classes
    ModelWithSummary

  10. def copy(blocks: Map[Block, DataFrame], params: ParamMap = ParamMap()): M

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    Definition Classes
    ModelWithSummary

  11. def copy(extra: ParamMap): M

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    Definition Classes
    ModelWithSummary → Model → Transformer → PipelineStage → Params

  12. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  13. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  14. def directTransform(data: DataFrame): Option[Column]

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    returns

    If possible, try to evaluate prediction directly, overwise revert to chain of transformations.

    Definition Classes
    DirectPredictionModel → HasDirectTransformOption

  15. def disableSaveSummary(): ModelWithSummary[M]

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    Definition Classes
    ModelWithSummary

  16. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  17. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  18. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  19. def explainParams(): String

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    Definition Classes
    Params

  20. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

  21. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params

  22. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  23. def featuresDataType: DataType

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    Attributes
    protected
    Definition Classes
    PredictionModel

  24. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  25. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  26. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  27. def getCoefficients: Vector

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  28. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  29. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  30. def getIntercept: Double

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  31. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  32. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params

  33. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params

  34. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  35. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params

  36. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  37. def hasParent: Boolean

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    Definition Classes
    Model

  38. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  39. val index: String

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    Definition Classes
    HasWeights

  40. def init(coefficients: Vector, sqlContext: SQLContext, features: StructField): LinearModel[M]

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    Attributes
    protected

  41. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  42. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  43. final val intercept: DoubleParam

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  44. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params

  45. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  46. def isSaveSummaryEnabled: Boolean

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    Definition Classes
    ModelWithSummary

  47. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params

  48. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  49. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  50. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

  51. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  52. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  53. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  54. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  55. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  56. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  57. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

  58. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  59. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  60. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  61. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  62. val name: String

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    Definition Classes
    HasWeights

  63. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  64. final def notify(): Unit

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    Definition Classes
    AnyRef

  65. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  66. def numFeatures: Int

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    Definition Classes
    PredictionModel
    Annotations
    @Since( "1.6.0" )

  67. lazy val params: Array[Param[_]]

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    Definition Classes
    Params

  68. var parent: Estimator[M]

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    Definition Classes
    Model

  69. final def predict(features: Vector): Double

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    Definition Classes
    LinearModel → DirectPredictionModel → PredictionModel

  70. def predictDirect(features: Any): Double

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    Definition Classes
    DirectPredictionModel

  71. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  72. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  73. final def set(paramPair: ParamPair[_]): LinearModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  74. final def set(param: String, value: Any): LinearModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  75. final def set[T](param: Param[T], value: T): LinearModel.this.type

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    Definition Classes
    Params

  76. final def setDefault(paramPairs: ParamPair[_]*): LinearModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  77. final def setDefault[T](param: Param[T], value: T): LinearModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  78. def setFeaturesCol(value: String): M

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    Definition Classes
    PredictionModel

  79. def setParent(parent: Estimator[M]): M

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    Definition Classes
    Model

  80. def setPredictionCol(value: String): M

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    Definition Classes
    PredictionModel

  81. def summary: ModelSummary

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    Definition Classes
    ModelWithSummary

  82. val summaryParam: Param[ModelSummary]

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    Attributes
    protected
    Definition Classes
    ModelWithSummary

  83. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  84. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  85. def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    PredictionModel → Transformer

  86. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

  87. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()

  88. def transformImpl(dataset: Dataset[_]): DataFrame

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    Attributes
    protected
    Definition Classes
    PredictionModel

  89. def transformSchema(schema: StructType): StructType

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    Definition Classes
    PredictionModel → PipelineStage

  90. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  91. val uid: String

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    Definition Classes
    LinearModel → Identifiable

  92. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType

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    Attributes
    protected
    Definition Classes
    PredictorParams

  93. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  94. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  95. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  96. val weight: String

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    Definition Classes
    HasWeights

  97. val weights: Block

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    Definition Classes
    HasWeights

  98. def write: WithSummaryWriter[M]

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    Definition Classes
    ModelWithSummary → MLWritable

Inherited from HasWeights

Inherited from LinearModelParams

Inherited from ModelWithSummary[M]

Inherited from MLWritable

Inherited from DirectPredictionModel[Vector, M]

Inherited from HasDirectTransformOption

Inherited from PredictionModel[Vector, M]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Model[M]

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped