Packages

class IsolationForest extends Estimator[IsolationForestModel] with IsolationForestParams with DefaultParamsWritable with Wrappable with SynapseMLLogging

Linear Supertypes
SynapseMLLogging, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, DefaultParamsWritable, MLWritable, IsolationForestParams, Estimator[IsolationForestModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. IsolationForest
  2. SynapseMLLogging
  3. Wrappable
  4. DotnetWrappable
  5. RWrappable
  6. PythonWrappable
  7. BaseWrappable
  8. DefaultParamsWritable
  9. MLWritable
  10. IsolationForestParams
  11. Estimator
  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 IsolationForest()
  2. new IsolationForest(uid: String)
  3. new IsolationForest(uid: String, that: linkedin.relevance.isolationforest.IsolationForest)

Value Members

  1. final val bootstrap: BooleanParam
    Definition Classes
    IsolationForestParams
  2. final def clear(param: Param[_]): IsolationForest.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): IsolationForest
    Definition Classes
    IsolationForest → Estimator → PipelineStage → Params
  6. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  7. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  8. def explainParams(): String
    Definition Classes
    Params
  9. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  10. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  11. final val featuresCol: Param[String]
    Definition Classes
    IsolationForestParams
  12. def fit(dataset: Dataset[_]): IsolationForestModel
    Definition Classes
    IsolationForest → Estimator
  13. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[IsolationForestModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  14. def fit(dataset: Dataset[_], paramMap: ParamMap): IsolationForestModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  15. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): IsolationForestModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  16. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  17. final def getBootstrap: Boolean
    Definition Classes
    IsolationForestParams
  18. final def getContamination: Double
    Definition Classes
    IsolationForestParams
  19. final def getContaminationError: Double
    Definition Classes
    IsolationForestParams
  20. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  21. final def getFeaturesCol: String
    Definition Classes
    IsolationForestParams
  22. final def getMaxFeatures: Double
    Definition Classes
    IsolationForestParams
  23. final def getMaxSamples: Double
    Definition Classes
    IsolationForestParams
  24. final def getNumEstimators: Int
    Definition Classes
    IsolationForestParams
  25. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  26. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  27. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  28. final def getPredictionCol: String
    Definition Classes
    IsolationForestParams
  29. final def getRandomSeed: Long
    Definition Classes
    IsolationForestParams
  30. final def getScoreCol: String
    Definition Classes
    IsolationForestParams
  31. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  32. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  33. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  34. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  35. def logClass(): Unit
    Definition Classes
    SynapseMLLogging
  36. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  37. def logTrain[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  38. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  39. def logVerb[T](verb: String, f: ⇒ T, columns: Int = -1): T
    Definition Classes
    SynapseMLLogging
  40. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  41. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  42. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  43. final val maxFeatures: DoubleParam
    Definition Classes
    IsolationForestParams
  44. final val maxSamples: DoubleParam
    Definition Classes
    IsolationForestParams
  45. final val numEstimators: IntParam
    Definition Classes
    IsolationForestParams
  46. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  47. final val predictionCol: Param[String]
    Definition Classes
    IsolationForestParams
  48. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  49. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  50. final val randomSeed: LongParam
    Definition Classes
    IsolationForestParams
  51. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  52. final val scoreCol: Param[String]
    Definition Classes
    IsolationForestParams
  53. final def set[T](param: Param[T], value: T): IsolationForest.this.type
    Definition Classes
    Params
  54. def setBootstrap(value: Boolean): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  55. def setContamination(value: Double): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  56. def setContaminationError(value: Double): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  57. def setFeaturesCol(value: String): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  58. def setMaxFeatures(value: Double): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  59. def setMaxSamples(value: Double): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  60. def setNumEstimators(value: Int): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  61. def setPredictionCol(value: String): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  62. def setRandomSeed(value: Long): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  63. def setScoreCol(value: String): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  64. val that: linkedin.relevance.isolationforest.IsolationForest
  65. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  66. def transformSchema(schema: StructType): StructType
    Definition Classes
    IsolationForest → PipelineStage
  67. val uid: String
    Definition Classes
    IsolationForest → SynapseMLLogging → Identifiable
  68. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable