Class

com.lewuathe.dllib.solver

SolverModel

Related Doc: package solver

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abstract class SolverModel[FeaturesType, M <: SolverModel[FeaturesType, M]] extends PredictionModel[FeaturesType, M]

Linear Supertypes
PredictionModel[FeaturesType, M], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, org.apache.spark.ml.Model[M], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
MultiLayerPerceptronModel, UnsupervisedPretrainingSolverModel
Ordering
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  2. By Inheritance
Inherited
  1. SolverModel
  2. PredictionModel
  3. PredictorParams
  4. HasPredictionCol
  5. HasFeaturesCol
  6. HasLabelCol
  7. Model
  8. Transformer
  9. PipelineStage
  10. Logging
  11. Params
  12. Serializable
  13. Serializable
  14. Identifiable
  15. AnyRef
  16. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new SolverModel(network: Network)

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Abstract Value Members

  1. abstract def predict(features: FeaturesType): Double

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    Attributes
    protected
    Definition Classes
    PredictionModel

  2. abstract val uid: String

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    Definition Classes
    Identifiable

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[_]): SolverModel.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. def copy(extra: ParamMap): M

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    Definition Classes
    SolverModel → Model → Transformer → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  14. def explainParams(): String

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    Definition Classes
    Params

  15. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  17. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  18. def featuresDataType: DataType

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    Attributes
    protected
    Definition Classes
    PredictionModel

  19. def finalize(): Unit

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  23. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  24. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  27. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  28. val graph: Graph

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

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    Definition Classes
    Params

  30. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  31. def hasParent: Boolean

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    Definition Classes
    Model

  32. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  33. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  35. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  37. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  38. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  39. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  46. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  51. val model: Model

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

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    Definition Classes
    AnyRef

  53. val network: Network

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  54. final def notify(): Unit

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    Definition Classes
    AnyRef

  55. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  56. def numFeatures: Int

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    Definition Classes
    PredictionModel
    Annotations
    @Since( "1.6.0" )

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

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    Definition Classes
    Params

  58. var parent: Estimator[M]

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    Definition Classes
    Model

  59. def predictInternal(features: Vector[Double]): Double

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    Attributes
    protected

  60. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  61. final def set(paramPair: ParamPair[_]): SolverModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  62. final def set(param: String, value: Any): SolverModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

  64. final def setDefault(paramPairs: ParamPair[_]*): SolverModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  66. def setFeaturesCol(value: String): M

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    Definition Classes
    PredictionModel

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

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    Definition Classes
    Model

  68. def setPredictionCol(value: String): M

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    Definition Classes
    PredictionModel

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

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    Definition Classes
    AnyRef

  70. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    Definition Classes
    PredictionModel → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Attributes
    protected
    Definition Classes
    PredictionModel

  75. def transformSchema(schema: StructType): StructType

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    Definition Classes
    PredictionModel → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

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

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    Attributes
    protected
    Definition Classes
    PredictorParams

  78. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from PredictionModel[FeaturesType, M]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from org.apache.spark.ml.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