Packages

class IsolationForestModel extends Model[IsolationForestModel] with IsolationForestParams with ComplexParamsWritable with Wrappable with SynapseMLLogging

Linear Supertypes
SynapseMLLogging, Wrappable, RWrappable, PythonWrappable, BaseWrappable, ComplexParamsWritable, MLWritable, IsolationForestParams, Model[IsolationForestModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. IsolationForestModel
  2. SynapseMLLogging
  3. Wrappable
  4. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. ComplexParamsWritable
  8. MLWritable
  9. IsolationForestParams
  10. Model
  11. Transformer
  12. PipelineStage
  13. Logging
  14. Params
  15. Serializable
  16. Serializable
  17. Identifiable
  18. AnyRef
  19. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new IsolationForestModel()
  2. new IsolationForestModel(uid: String)

Value Members

  1. final val bootstrap: BooleanParam
    Definition Classes
    IsolationForestParams
  2. final def clear(param: Param[_]): IsolationForestModel.this.type
    Definition Classes
    Params
  3. final val contamination: DoubleParam
    Definition Classes
    IsolationForestParams
  4. final val contaminationError: DoubleParam
    Definition Classes
    IsolationForestParams
  5. def copy(extra: ParamMap): IsolationForestModel
    Definition Classes
    IsolationForestModel → Model → Transformer → PipelineStage → Params
  6. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  7. def explainParams(): String
    Definition Classes
    Params
  8. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  9. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  10. final val featuresCol: Param[String]
    Definition Classes
    IsolationForestParams
  11. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  12. final def getBootstrap: Boolean
    Definition Classes
    IsolationForestParams
  13. final def getContamination: Double
    Definition Classes
    IsolationForestParams
  14. final def getContaminationError: Double
    Definition Classes
    IsolationForestParams
  15. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  16. final def getFeaturesCol: String
    Definition Classes
    IsolationForestParams
  17. def getInnerModel: linkedin.relevance.isolationforest.IsolationForestModel
  18. final def getMaxFeatures: Double
    Definition Classes
    IsolationForestParams
  19. final def getMaxSamples: Double
    Definition Classes
    IsolationForestParams
  20. final def getNumEstimators: Int
    Definition Classes
    IsolationForestParams
  21. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  22. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  23. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  24. final def getPredictionCol: String
    Definition Classes
    IsolationForestParams
  25. final def getRandomSeed: Long
    Definition Classes
    IsolationForestParams
  26. final def getScoreCol: String
    Definition Classes
    IsolationForestParams
  27. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  28. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  29. def hasParent: Boolean
    Definition Classes
    Model
  30. val innerModel: TransformerParam
  31. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  32. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  33. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  34. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  35. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  36. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  37. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  38. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  39. final val maxFeatures: DoubleParam
    Definition Classes
    IsolationForestParams
  40. final val maxSamples: DoubleParam
    Definition Classes
    IsolationForestParams
  41. final val numEstimators: IntParam
    Definition Classes
    IsolationForestParams
  42. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  43. var parent: Estimator[IsolationForestModel]
    Definition Classes
    Model
  44. final val predictionCol: Param[String]
    Definition Classes
    IsolationForestParams
  45. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  46. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  47. lazy val pyInternalWrapper: Boolean
    Definition Classes
    IsolationForestModelPythonWrappable
  48. final val randomSeed: LongParam
    Definition Classes
    IsolationForestParams
  49. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  50. final val scoreCol: Param[String]
    Definition Classes
    IsolationForestParams
  51. final def set[T](param: Param[T], value: T): IsolationForestModel.this.type
    Definition Classes
    Params
  52. def setBootstrap(value: Boolean): IsolationForestModel.this.type
    Definition Classes
    IsolationForestParams
  53. def setContamination(value: Double): IsolationForestModel.this.type
    Definition Classes
    IsolationForestParams
  54. def setContaminationError(value: Double): IsolationForestModel.this.type
    Definition Classes
    IsolationForestParams
  55. def setFeaturesCol(value: String): IsolationForestModel.this.type
    Definition Classes
    IsolationForestParams
  56. def setInnerModel(v: linkedin.relevance.isolationforest.IsolationForestModel): IsolationForestModel.this.type
  57. def setMaxFeatures(value: Double): IsolationForestModel.this.type
    Definition Classes
    IsolationForestParams
  58. def setMaxSamples(value: Double): IsolationForestModel.this.type
    Definition Classes
    IsolationForestParams
  59. def setNumEstimators(value: Int): IsolationForestModel.this.type
    Definition Classes
    IsolationForestParams
  60. def setParent(parent: Estimator[IsolationForestModel]): IsolationForestModel
    Definition Classes
    Model
  61. def setPredictionCol(value: String): IsolationForestModel.this.type
    Definition Classes
    IsolationForestParams
  62. def setRandomSeed(value: Long): IsolationForestModel.this.type
    Definition Classes
    IsolationForestParams
  63. def setScoreCol(value: String): IsolationForestModel.this.type
    Definition Classes
    IsolationForestParams
  64. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  65. def transform(data: Dataset[_]): DataFrame
    Definition Classes
    IsolationForestModel → Transformer
  66. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  67. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  68. def transformSchema(schema: StructType): StructType
    Definition Classes
    IsolationForestModel → PipelineStage
  69. val uid: String
    Definition Classes
    IsolationForestModelSynapseMLLogging → Identifiable
  70. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable