Class/Object

org.apache.spark.ml.odkl

LogisticRegressionLBFSG

Related Docs: object LogisticRegressionLBFSG | package odkl

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class LogisticRegressionLBFSG extends LinearRegressor[LogisticRegressionModel, LogisticRegressionLBFSG, LogisticRegressionLBFSG] with HasRegParam with HasTol with HasMaxIter with Optimizer with HasElasticNetParam with HasRegularizeLast with HasBatchSize

Linear Supertypes
HasBatchSize, HasRegularizeLast, HasElasticNetParam, Optimizer, HasMaxIter, HasTol, HasRegParam, LinearRegressor[LogisticRegressionModel, LogisticRegressionLBFSG, LogisticRegressionLBFSG], HasCacheTrainData, DefaultParamsWritable, MLWritable, LinearEstimator[LogisticRegressionModel, LogisticRegressionLBFSG], HasWeights, LinearModelParams, SummarizableEstimator[LogisticRegressionModel], Predictor[Vector, LogisticRegressionLBFSG, LogisticRegressionModel], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Estimator[LogisticRegressionModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. LogisticRegressionLBFSG
  2. HasBatchSize
  3. HasRegularizeLast
  4. HasElasticNetParam
  5. Optimizer
  6. HasMaxIter
  7. HasTol
  8. HasRegParam
  9. LinearRegressor
  10. HasCacheTrainData
  11. DefaultParamsWritable
  12. MLWritable
  13. LinearEstimator
  14. HasWeights
  15. LinearModelParams
  16. SummarizableEstimator
  17. Predictor
  18. PredictorParams
  19. HasPredictionCol
  20. HasFeaturesCol
  21. HasLabelCol
  22. Estimator
  23. PipelineStage
  24. Logging
  25. Params
  26. Serializable
  27. Serializable
  28. Identifiable
  29. AnyRef
  30. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new LogisticRegressionLBFSG()

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  2. new LogisticRegressionLBFSG(uid: String)

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Type Members

  1. case class LossInfo(name: String, value: Double) extends Product with Serializable

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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. val batchSize: IntParam

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    Definition Classes
    HasBatchSize

  7. final val cacheTrainData: BooleanParam

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    Definition Classes
    HasCacheTrainData

  8. final def clear(param: Param[_]): LogisticRegressionLBFSG.this.type

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    Definition Classes
    Params

  9. def clone(): AnyRef

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

  10. def copy(extra: ParamMap): LogisticRegressionLBFSG

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

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

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    Attributes
    protected
    Definition Classes
    Params

  12. def createModel(optimizer: LogisticRegressionLBFSG, coefficients: Vector, sqlContext: SQLContext, features: StructField): LogisticRegressionModel

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    Attributes
    protected
    Definition Classes
    LogisticRegressionLBFSG → LinearRegressor

  13. def createOptimizer(): LogisticRegressionLBFSG

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    Attributes
    protected
    Definition Classes
    LogisticRegressionLBFSG → LinearRegressor

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

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    Attributes
    protected
    Definition Classes
    LinearRegressor

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

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    Attributes
    protected
    Definition Classes
    Params

  16. final val elasticNetParam: DoubleParam

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    Definition Classes
    HasElasticNetParam

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

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    Attributes
    protected
    Definition Classes
    Predictor

  22. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  24. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  25. def finalize(): Unit

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

  26. def fit(dataset: Dataset[_]): LogisticRegressionModel

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    Definition Classes
    Predictor → Estimator

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  28. def fit(dataset: Dataset[_], paramMap: ParamMap): LogisticRegressionModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Definition Classes
    Params

  31. def getBatchSize: Int

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    Definition Classes
    HasBatchSize

  32. final def getCacheTrainData: Boolean

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    Definition Classes
    HasCacheTrainData

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  35. final def getElasticNetParam: Double

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    Definition Classes
    HasElasticNetParam

  36. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  37. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  38. final def getMaxIter: Int

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    Definition Classes
    HasMaxIter

  39. final def getNumCorrections: Int

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  42. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  43. final def getRegParam: Double

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    Definition Classes
    HasRegParam

  44. def getRegularizeLast: Boolean

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    Definition Classes
    HasRegularizeLast

  45. final def getTol: Double

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    Definition Classes
    HasTol

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

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    Definition Classes
    Params

  47. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  48. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  49. val index: String

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    Definition Classes
    HasWeights

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

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    Attributes
    protected
    Definition Classes
    Logging

  51. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  53. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  55. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  56. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  57. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  64. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  69. final val maxIter: IntParam

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    Definition Classes
    HasMaxIter

  70. val name: String

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    Definition Classes
    HasWeights

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

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    Definition Classes
    AnyRef

  72. final def notify(): Unit

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    Definition Classes
    AnyRef

  73. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  74. final val numCorrections: IntParam

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  75. def optimize(data: RDD[(Double, Vector)], initialWeights: Vector): Vector

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    Definition Classes
    LogisticRegressionLBFSG → Optimizer

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

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    Definition Classes
    Params

  77. final val preInitIntercept: BooleanParam

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  78. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  79. final val regParam: DoubleParam

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    Definition Classes
    HasRegParam

  80. val regularizeLast: BooleanParam

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    Definition Classes
    HasRegularizeLast

  81. def save(path: String): Unit

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

  82. final def set(paramPair: ParamPair[_]): LogisticRegressionLBFSG.this.type

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    Attributes
    protected
    Definition Classes
    Params

  83. final def set(param: String, value: Any): LogisticRegressionLBFSG.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

  85. def setBatchSize(value: Int): LogisticRegressionLBFSG.this.type

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    Definition Classes
    HasBatchSize

  86. def setCacheTrainData(value: Boolean): LogisticRegressionLBFSG.this.type

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    Definition Classes
    HasCacheTrainData

  87. final def setDefault(paramPairs: ParamPair[_]*): LogisticRegressionLBFSG.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  89. def setElasticNetParam(value: Double): LogisticRegressionLBFSG.this.type

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  90. def setFeaturesCol(value: String): LogisticRegressionLBFSG

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    Definition Classes
    Predictor

  91. def setLabelCol(value: String): LogisticRegressionLBFSG

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    Definition Classes
    Predictor

  92. def setMaxIter(value: Int): LogisticRegressionLBFSG.this.type

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  93. def setPreInitIntercept(value: Boolean): LogisticRegressionLBFSG.this.type

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  94. def setPredictionCol(value: String): LogisticRegressionLBFSG

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    Definition Classes
    Predictor

  95. def setRegParam(value: Double): LogisticRegressionLBFSG.this.type

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  96. def setRegularizeLast(value: Boolean): LogisticRegressionLBFSG.this.type

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    Definition Classes
    HasRegularizeLast

  97. def setTol(value: Double): LogisticRegressionLBFSG.this.type

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

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    Definition Classes
    AnyRef

  99. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  100. final val tol: DoubleParam

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    Definition Classes
    HasTol

  101. def train(dataset: Dataset[_]): LogisticRegressionModel

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    Attributes
    protected
    Definition Classes
    LinearRegressor → Predictor

  102. def transformSchema(schema: StructType): StructType

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    Definition Classes
    Predictor → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  104. val uid: String

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    Definition Classes
    LogisticRegressionLBFSG → LinearRegressor → Identifiable

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

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    Attributes
    protected
    Definition Classes
    PredictorParams

  106. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  109. val weight: String

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    Definition Classes
    HasWeights

  110. val weights: Block

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    Definition Classes
    HasWeights

  111. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from HasBatchSize

Inherited from HasRegularizeLast

Inherited from HasElasticNetParam

Inherited from Optimizer

Inherited from HasMaxIter

Inherited from HasTol

Inherited from HasRegParam

Inherited from LinearRegressor[LogisticRegressionModel, LogisticRegressionLBFSG, LogisticRegressionLBFSG]

Inherited from HasCacheTrainData

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from LinearEstimator[LogisticRegressionModel, LogisticRegressionLBFSG]

Inherited from HasWeights

Inherited from LinearModelParams

Inherited from SummarizableEstimator[LogisticRegressionModel]

Inherited from Predictor[Vector, LogisticRegressionLBFSG, LogisticRegressionModel]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Estimator[LogisticRegressionModel]

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