Class/Object

org.apache.spark.ml.odkl

LinearRegressionModel

Related Docs: object LinearRegressionModel | package odkl

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class LinearRegressionModel extends LinearModel[LinearRegressionModel]

Linear Supertypes
LinearModel[LinearRegressionModel], HasWeights, LinearModelParams, ModelWithSummary[LinearRegressionModel], MLWritable, DirectPredictionModel[Vector, LinearRegressionModel], HasDirectTransformOption, PredictionModel[Vector, LinearRegressionModel], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Model[LinearRegressionModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. LinearRegressionModel
  2. LinearModel
  3. HasWeights
  4. LinearModelParams
  5. ModelWithSummary
  6. MLWritable
  7. DirectPredictionModel
  8. HasDirectTransformOption
  9. PredictionModel
  10. PredictorParams
  11. HasPredictionCol
  12. HasFeaturesCol
  13. HasLabelCol
  14. Model
  15. Transformer
  16. PipelineStage
  17. Logging
  18. Params
  19. Serializable
  20. Serializable
  21. Identifiable
  22. AnyRef
  23. Any
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Visibility
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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[_]): LinearRegressionModel.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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    Definition Classes
    LinearModel

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

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    Definition Classes
    ModelWithSummary

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

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    Definition Classes
    ModelWithSummary

  11. def copy(extra: ParamMap): LinearRegressionModel

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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. def create(): LinearRegressionModel

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    Definition Classes
    LinearRegressionModel → ModelWithSummary

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

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    Attributes
    protected
    Definition Classes
    Params

  15. 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

  16. def disableSaveSummary(): ModelWithSummary[LinearRegressionModel]

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    Definition Classes
    ModelWithSummary

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

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    Definition Classes
    AnyRef

  18. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  20. def explainParams(): String

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    Definition Classes
    Params

  21. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  23. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  24. def featuresDataType: DataType

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    Attributes
    protected
    Definition Classes
    PredictionModel

  25. def finalize(): Unit

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

  28. def getCoefficients: Vector

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    Definition Classes
    LinearModel

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

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    Definition Classes
    Params

  30. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  31. def getIntercept: Double

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    Definition Classes
    LinearModel

  32. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  35. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

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

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    Definition Classes
    Params

  37. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  38. def hasParent: Boolean

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    Definition Classes
    Model

  39. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  40. val index: String

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    Definition Classes
    HasWeights

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

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    Attributes
    protected
    Definition Classes
    LinearModel

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

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    Attributes
    protected
    Definition Classes
    Logging

  43. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  44. final val intercept: DoubleParam

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    Definition Classes
    LinearModel

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

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    Definition Classes
    Params

  46. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  47. def isSaveSummaryEnabled: Boolean

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    Definition Classes
    ModelWithSummary

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

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    Definition Classes
    Params

  49. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  50. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  51. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  58. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  63. val name: String

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    Definition Classes
    HasWeights

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

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    Definition Classes
    AnyRef

  65. final def notify(): Unit

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    Definition Classes
    AnyRef

  66. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  67. def numFeatures: Int

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    Definition Classes
    PredictionModel
    Annotations
    @Since( "1.6.0" )

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

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    Definition Classes
    Params

  69. var parent: Estimator[LinearRegressionModel]

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    Definition Classes
    Model

  70. def postProcess(value: Double): Double

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    Definition Classes
    LinearRegressionModel → LinearModel

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

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    Definition Classes
    LinearModel → DirectPredictionModel → PredictionModel

  72. def predictDirect(features: Any): Double

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    Definition Classes
    DirectPredictionModel

  73. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  74. def save(path: String): Unit

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

  75. final def set(paramPair: ParamPair[_]): LinearRegressionModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  76. final def set(param: String, value: Any): LinearRegressionModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

  78. final def setDefault(paramPairs: ParamPair[_]*): LinearRegressionModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  80. def setFeaturesCol(value: String): LinearRegressionModel

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    Definition Classes
    PredictionModel

  81. def setParent(parent: Estimator[LinearRegressionModel]): LinearRegressionModel

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    Definition Classes
    Model

  82. def setPredictionCol(value: String): LinearRegressionModel

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    Definition Classes
    PredictionModel

  83. def summary: ModelSummary

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    Definition Classes
    ModelWithSummary

  84. val summaryParam: Param[ModelSummary]

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    Attributes
    protected
    Definition Classes
    ModelWithSummary

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

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    Definition Classes
    AnyRef

  86. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    Definition Classes
    PredictionModel → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Attributes
    protected
    Definition Classes
    PredictionModel

  91. def transformSchema(schema: StructType): StructType

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    Definition Classes
    PredictionModel → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  93. val uid: String

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    Definition Classes
    LinearModel → Identifiable

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

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    Attributes
    protected
    Definition Classes
    PredictorParams

  95. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  98. val weight: String

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    Definition Classes
    HasWeights

  99. val weights: Block

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    Definition Classes
    HasWeights

  100. def write: WithSummaryWriter[LinearRegressionModel]

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    Definition Classes
    ModelWithSummary → MLWritable

Inherited from LinearModel[LinearRegressionModel]

Inherited from HasWeights

Inherited from LinearModelParams

Inherited from ModelWithSummary[LinearRegressionModel]

Inherited from MLWritable

Inherited from DirectPredictionModel[Vector, LinearRegressionModel]

Inherited from HasDirectTransformOption

Inherited from PredictionModel[Vector, LinearRegressionModel]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Model[LinearRegressionModel]

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