Class

org.apache.spark.ml.odkl

LinearRegressionSGD

Related Doc: package odkl

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class LinearRegressionSGD extends LinearRegressor[LinearRegressionModel, GradientDescent, LinearRegressionSGD] with HasRegParam with HasTol with HasMaxIter with HasStepSize

Linear Supertypes
HasStepSize, HasMaxIter, HasTol, HasRegParam, LinearRegressor[LinearRegressionModel, GradientDescent, LinearRegressionSGD], HasCacheTrainData, DefaultParamsWritable, MLWritable, LinearEstimator[LinearRegressionModel, LinearRegressionSGD], HasWeights, LinearModelParams, SummarizableEstimator[LinearRegressionModel], Predictor[Vector, LinearRegressionSGD, LinearRegressionModel], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Estimator[LinearRegressionModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  2. By Inheritance
Inherited
  1. LinearRegressionSGD
  2. HasStepSize
  3. HasMaxIter
  4. HasTol
  5. HasRegParam
  6. LinearRegressor
  7. HasCacheTrainData
  8. DefaultParamsWritable
  9. MLWritable
  10. LinearEstimator
  11. HasWeights
  12. LinearModelParams
  13. SummarizableEstimator
  14. Predictor
  15. PredictorParams
  16. HasPredictionCol
  17. HasFeaturesCol
  18. HasLabelCol
  19. Estimator
  20. PipelineStage
  21. Logging
  22. Params
  23. Serializable
  24. Serializable
  25. Identifiable
  26. AnyRef
  27. Any
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Visibility
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Instance Constructors

  1. new LinearRegressionSGD()

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  2. new LinearRegressionSGD(uid: String)

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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 val cacheTrainData: BooleanParam

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    Definition Classes
    HasCacheTrainData

  7. final def clear(param: Param[_]): LinearRegressionSGD.this.type

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    Definition Classes
    Params

  8. def clone(): AnyRef

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

  9. def copy(extra: ParamMap): LinearRegressionSGD

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    Definition Classes
    LinearRegressor → LinearEstimator → SummarizableEstimator → Predictor → Estimator → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

  11. def createModel(optimizer: GradientDescent, coefficients: Vector, sqlContext: SQLContext, features: StructField): LinearRegressionModel

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    Attributes
    protected
    Definition Classes
    LinearRegressionSGD → LinearRegressor

  12. def createOptimizer(): GradientDescent

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    Attributes
    protected
    Definition Classes
    LinearRegressionSGD → LinearRegressor

  13. def createWeightsSummary(coefficients: Vector, sqlContext: SQLContext, features: StructField): DataFrame

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    Attributes
    protected
    Definition Classes
    LinearRegressor

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  16. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  18. def explainParams(): String

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    Definition Classes
    Params

  19. def extractLabeledPoints(dataset: Dataset[_]): RDD[LabeledPoint]

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    Attributes
    protected
    Definition Classes
    Predictor

  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 finalize(): Unit

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

  24. def fit(dataset: Dataset[_]): LinearRegressionModel

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    Definition Classes
    Predictor → Estimator

  25. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[LinearRegressionModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  26. def fit(dataset: Dataset[_], paramMap: ParamMap): LinearRegressionModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  27. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): LinearRegressionModel

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

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

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    Definition Classes
    Params

  29. final def getCacheTrainData: Boolean

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    Definition Classes
    HasCacheTrainData

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  32. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  33. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  34. final def getMaxIter: Int

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    Definition Classes
    HasMaxIter

  35. final def getMiniBatchFraction: Double

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  38. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  39. final def getRegParam: Double

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    Definition Classes
    HasRegParam

  40. final def getStepSize: Double

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    Definition Classes
    HasStepSize

  41. final def getTol: Double

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    Definition Classes
    HasTol

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

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    Definition Classes
    Params

  43. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  44. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  45. val index: String

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    Definition Classes
    HasWeights

  46. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  48. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  50. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  51. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  52. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  59. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  64. final val maxIter: IntParam

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    Definition Classes
    HasMaxIter

  65. final val miniBatchFraction: DoubleParam

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  66. val name: String

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    Definition Classes
    HasWeights

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

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    Definition Classes
    AnyRef

  68. final def notify(): Unit

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    Definition Classes
    AnyRef

  69. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    Params

  71. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  72. final val regParam: DoubleParam

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    Definition Classes
    HasRegParam

  73. def save(path: String): Unit

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

  74. final def set(paramPair: ParamPair[_]): LinearRegressionSGD.this.type

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    Attributes
    protected
    Definition Classes
    Params

  75. final def set(param: String, value: Any): LinearRegressionSGD.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

  77. def setCacheTrainData(value: Boolean): LinearRegressionSGD.this.type

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    Definition Classes
    HasCacheTrainData

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  80. def setFeaturesCol(value: String): LinearRegressionSGD

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    Definition Classes
    Predictor

  81. def setLabelCol(value: String): LinearRegressionSGD

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    Definition Classes
    Predictor

  82. def setPredictionCol(value: String): LinearRegressionSGD

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    Definition Classes
    Predictor

  83. def setRegParam(value: Double): LinearRegressionSGD.this.type

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  84. final val stepSize: DoubleParam

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    Definition Classes
    HasStepSize

  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. final val tol: DoubleParam

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    Definition Classes
    HasTol

  88. def train(dataset: Dataset[_]): LinearRegressionModel

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    Attributes
    protected
    Definition Classes
    LinearRegressor → Predictor

  89. def transformSchema(schema: StructType): StructType

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    Definition Classes
    Predictor → 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
    LinearRegressionSGD → LinearRegressor → 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: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from HasStepSize

Inherited from HasMaxIter

Inherited from HasTol

Inherited from HasRegParam

Inherited from LinearRegressor[LinearRegressionModel, GradientDescent, LinearRegressionSGD]

Inherited from HasCacheTrainData

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from LinearEstimator[LinearRegressionModel, LinearRegressionSGD]

Inherited from HasWeights

Inherited from LinearModelParams

Inherited from SummarizableEstimator[LinearRegressionModel]

Inherited from Predictor[Vector, LinearRegressionSGD, LinearRegressionModel]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Estimator[LinearRegressionModel]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

Ungrouped