Packages

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

Linear Supertypes
SynapseMLLogging, Wrappable, 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. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. DefaultParamsWritable
  8. MLWritable
  9. IsolationForestParams
  10. Estimator
  11. PipelineStage
  12. Logging
  13. Params
  14. Serializable
  15. Serializable
  16. Identifiable
  17. AnyRef
  18. 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 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. def fit(dataset: Dataset[_]): IsolationForestModel
    Definition Classes
    IsolationForest → Estimator
  12. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[IsolationForestModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  13. def fit(dataset: Dataset[_], paramMap: ParamMap): IsolationForestModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  14. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): IsolationForestModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  15. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  16. final def getBootstrap: Boolean
    Definition Classes
    IsolationForestParams
  17. final def getContamination: Double
    Definition Classes
    IsolationForestParams
  18. final def getContaminationError: Double
    Definition Classes
    IsolationForestParams
  19. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  20. final def getFeaturesCol: String
    Definition Classes
    IsolationForestParams
  21. final def getMaxFeatures: Double
    Definition Classes
    IsolationForestParams
  22. final def getMaxSamples: Double
    Definition Classes
    IsolationForestParams
  23. final def getNumEstimators: Int
    Definition Classes
    IsolationForestParams
  24. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  25. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  26. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  27. final def getPredictionCol: String
    Definition Classes
    IsolationForestParams
  28. final def getRandomSeed: Long
    Definition Classes
    IsolationForestParams
  29. final def getScoreCol: String
    Definition Classes
    IsolationForestParams
  30. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  31. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  32. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  33. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  34. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  35. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  36. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  37. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  38. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  39. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  40. final val maxFeatures: DoubleParam
    Definition Classes
    IsolationForestParams
  41. final val maxSamples: DoubleParam
    Definition Classes
    IsolationForestParams
  42. final val numEstimators: IntParam
    Definition Classes
    IsolationForestParams
  43. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  44. final val predictionCol: Param[String]
    Definition Classes
    IsolationForestParams
  45. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  46. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  47. final val randomSeed: LongParam
    Definition Classes
    IsolationForestParams
  48. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  49. final val scoreCol: Param[String]
    Definition Classes
    IsolationForestParams
  50. final def set[T](param: Param[T], value: T): IsolationForest.this.type
    Definition Classes
    Params
  51. def setBootstrap(value: Boolean): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  52. def setContamination(value: Double): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  53. def setContaminationError(value: Double): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  54. def setFeaturesCol(value: String): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  55. def setMaxFeatures(value: Double): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  56. def setMaxSamples(value: Double): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  57. def setNumEstimators(value: Int): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  58. def setPredictionCol(value: String): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  59. def setRandomSeed(value: Long): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  60. def setScoreCol(value: String): IsolationForest.this.type
    Definition Classes
    IsolationForestParams
  61. val that: linkedin.relevance.isolationforest.IsolationForest
  62. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  63. def transformSchema(schema: StructType): StructType
    Definition Classes
    IsolationForest → PipelineStage
  64. val uid: String
    Definition Classes
    IsolationForestSynapseMLLogging → Identifiable
  65. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable