org.apache.spark.ml.odkl

LinearRegressionSGD

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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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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Instance Constructors

  1. new LinearRegressionSGD()

  2. new LinearRegressionSGD(uid: String)

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Attributes
    protected
    Definition Classes
    Params

  5. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. final val cacheTrainData: BooleanParam

    Definition Classes
    HasCacheTrainData

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

    Definition Classes
    Params

  10. def clone(): AnyRef

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

  11. def copy(extra: ParamMap): LinearRegressionSGD

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

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    LinearRegressionSGD → LinearRegressor

  14. def createOptimizer(): GradientDescent

    Attributes
    protected
    Definition Classes
    LinearRegressionSGD → LinearRegressor

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

    Attributes
    protected
    Definition Classes
    LinearRegressor

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    AnyRef

  18. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  20. def explainParams(): String

    Definition Classes
    Params

  21. def extractLabeledPoints(dataset: DataFrame): RDD[LabeledPoint]

    Attributes
    protected
    Definition Classes
    Predictor

  22. final def extractParamMap(): ParamMap

    Definition Classes
    Params

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

    Definition Classes
    Params

  24. final val featuresCol: Param[String]

    Definition Classes
    HasFeaturesCol

  25. def finalize(): Unit

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

  26. def fit(dataset: DataFrame): LinearRegressionModel

    Definition Classes
    Predictor → Estimator

  27. def fit(dataset: DataFrame, paramMaps: Array[ParamMap]): Seq[LinearRegressionModel]

    Definition Classes
    Estimator

  28. def fit(dataset: DataFrame, paramMap: ParamMap): LinearRegressionModel

    Definition Classes
    Estimator

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

    Definition Classes
    Estimator
    Annotations
    @varargs()

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

    Definition Classes
    Params

  31. final def getCacheTrainData: Boolean

    Definition Classes
    HasCacheTrainData

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

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  34. final def getFeaturesCol: String

    Definition Classes
    HasFeaturesCol

  35. final def getLabelCol: String

    Definition Classes
    HasLabelCol

  36. final def getMaxIter: Int

    Definition Classes
    HasMaxIter

  37. final def getMiniBatchFraction: Double

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

    Definition Classes
    Params

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

    Definition Classes
    Params

  40. final def getPredictionCol: String

    Definition Classes
    HasPredictionCol

  41. final def getRegParam: Double

    Definition Classes
    HasRegParam

  42. final def getStepSize: Double

    Definition Classes
    HasStepSize

  43. final def getTol: Double

    Definition Classes
    HasTol

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

    Definition Classes
    Params

  45. def hasParam(paramName: String): Boolean

    Definition Classes
    Params

  46. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  47. val index: String

    Definition Classes
    HasWeights

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

    Definition Classes
    Params

  49. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    Params

  51. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  52. final val labelCol: Param[String]

    Definition Classes
    HasLabelCol

  53. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  60. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  65. final val maxIter: IntParam

    Definition Classes
    HasMaxIter

  66. final val miniBatchFraction: DoubleParam

  67. val name: String

    Definition Classes
    HasWeights

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

    Definition Classes
    AnyRef

  69. final def notify(): Unit

    Definition Classes
    AnyRef

  70. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    Params

  72. final val predictionCol: Param[String]

    Definition Classes
    HasPredictionCol

  73. final val regParam: DoubleParam

    Definition Classes
    HasRegParam

  74. def save(path: String): Unit

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

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    Params

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

    Definition Classes
    HasCacheTrainData

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

  81. def setFeaturesCol(value: String): LinearRegressionSGD

    Definition Classes
    Predictor

  82. def setLabelCol(value: String): LinearRegressionSGD

    Definition Classes
    Predictor

  83. def setPredictionCol(value: String): LinearRegressionSGD

    Definition Classes
    Predictor

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

  85. final val stepSize: DoubleParam

    Definition Classes
    HasStepSize

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

    Definition Classes
    AnyRef

  87. def toString(): String

    Definition Classes
    Identifiable → AnyRef → Any

  88. final val tol: DoubleParam

    Definition Classes
    HasTol

  89. def train(dataset: DataFrame): LinearRegressionModel

    Attributes
    protected
    Definition Classes
    LinearRegressor → Predictor

  90. def transformSchema(schema: StructType): StructType

    Definition Classes
    Predictor → PipelineStage

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

    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  92. val uid: String

    Definition Classes
    LinearRegressionSGD → LinearRegressor → Identifiable

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

    Attributes
    protected
    Definition Classes
    PredictorParams

  94. def validateParams(): Unit

    Definition Classes
    Params

  95. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  98. val weight: String

    Definition Classes
    HasWeights

  99. val weights: Block

    Definition Classes
    HasWeights

  100. def write: MLWriter

    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