c
com.microsoft.azure.synapse.ml.isolationforest
IsolationForestModel
Companion object IsolationForestModel
class IsolationForestModel extends Model[IsolationForestModel] with IsolationForestParams with ComplexParamsWritable with Wrappable with SynapseMLLogging
Linear Supertypes
Ordering
- Alphabetic
- By Inheritance
Inherited
- IsolationForestModel
- SynapseMLLogging
- Wrappable
- DotnetWrappable
- RWrappable
- PythonWrappable
- BaseWrappable
- ComplexParamsWritable
- MLWritable
- IsolationForestParams
- Model
- Transformer
- PipelineStage
- Logging
- Params
- Serializable
- Serializable
- Identifiable
- AnyRef
- Any
- Hide All
- Show All
Visibility
- Public
- All
Value Members
-
final
val
bootstrap: BooleanParam
- Definition Classes
- IsolationForestParams
-
final
def
clear(param: Param[_]): IsolationForestModel.this.type
- Definition Classes
- Params
-
final
val
contamination: DoubleParam
- Definition Classes
- IsolationForestParams
-
final
val
contaminationError: DoubleParam
- Definition Classes
- IsolationForestParams
-
def
copy(extra: ParamMap): IsolationForestModel
- Definition Classes
- IsolationForestModel → Model → Transformer → PipelineStage → Params
-
def
dotnetAdditionalMethods: String
- Definition Classes
- DotnetWrappable
-
def
explainParam(param: Param[_]): String
- Definition Classes
- Params
-
def
explainParams(): String
- Definition Classes
- Params
-
final
def
extractParamMap(): ParamMap
- Definition Classes
- Params
-
final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
- Params
-
final
val
featuresCol: Param[String]
- Definition Classes
- IsolationForestParams
-
final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
final
def
getBootstrap: Boolean
- Definition Classes
- IsolationForestParams
-
final
def
getContamination: Double
- Definition Classes
- IsolationForestParams
-
final
def
getContaminationError: Double
- Definition Classes
- IsolationForestParams
-
final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
final
def
getFeaturesCol: String
- Definition Classes
- IsolationForestParams
- def getInnerModel: linkedin.relevance.isolationforest.IsolationForestModel
-
final
def
getMaxFeatures: Double
- Definition Classes
- IsolationForestParams
-
final
def
getMaxSamples: Double
- Definition Classes
- IsolationForestParams
-
final
def
getNumEstimators: Int
- Definition Classes
- IsolationForestParams
-
final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
-
def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
-
def
getParamInfo(p: Param[_]): ParamInfo[_]
- Definition Classes
- BaseWrappable
-
final
def
getPredictionCol: String
- Definition Classes
- IsolationForestParams
-
final
def
getRandomSeed: Long
- Definition Classes
- IsolationForestParams
-
final
def
getScoreCol: String
- Definition Classes
- IsolationForestParams
-
final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
-
def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
-
def
hasParent: Boolean
- Definition Classes
- Model
- val innerModel: TransformerParam
-
final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
- Params
-
final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
-
def
logClass(featureName: String): Unit
- Definition Classes
- SynapseMLLogging
-
def
logFit[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
-
def
logTransform[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
-
def
logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
- Definition Classes
- SynapseMLLogging
-
def
makeDotnetFile(conf: CodegenConfig): Unit
- Definition Classes
- DotnetWrappable
-
def
makePyFile(conf: CodegenConfig): Unit
- Definition Classes
- PythonWrappable
-
def
makeRFile(conf: CodegenConfig): Unit
- Definition Classes
- RWrappable
-
final
val
maxFeatures: DoubleParam
- Definition Classes
- IsolationForestParams
-
final
val
maxSamples: DoubleParam
- Definition Classes
- IsolationForestParams
-
final
val
numEstimators: IntParam
- Definition Classes
- IsolationForestParams
-
lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
var
parent: Estimator[IsolationForestModel]
- Definition Classes
- Model
-
final
val
predictionCol: Param[String]
- Definition Classes
- IsolationForestParams
-
def
pyAdditionalMethods: String
- Definition Classes
- PythonWrappable
-
def
pyInitFunc(): String
- Definition Classes
- PythonWrappable
-
lazy val
pyInternalWrapper: Boolean
- Definition Classes
- IsolationForestModel → PythonWrappable
-
final
val
randomSeed: LongParam
- Definition Classes
- IsolationForestParams
-
def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
-
final
val
scoreCol: Param[String]
- Definition Classes
- IsolationForestParams
-
final
def
set[T](param: Param[T], value: T): IsolationForestModel.this.type
- Definition Classes
- Params
-
def
setBootstrap(value: Boolean): IsolationForestModel.this.type
- Definition Classes
- IsolationForestParams
-
def
setContamination(value: Double): IsolationForestModel.this.type
- Definition Classes
- IsolationForestParams
-
def
setContaminationError(value: Double): IsolationForestModel.this.type
- Definition Classes
- IsolationForestParams
-
def
setFeaturesCol(value: String): IsolationForestModel.this.type
- Definition Classes
- IsolationForestParams
- def setInnerModel(v: linkedin.relevance.isolationforest.IsolationForestModel): IsolationForestModel.this.type
-
def
setMaxFeatures(value: Double): IsolationForestModel.this.type
- Definition Classes
- IsolationForestParams
-
def
setMaxSamples(value: Double): IsolationForestModel.this.type
- Definition Classes
- IsolationForestParams
-
def
setNumEstimators(value: Int): IsolationForestModel.this.type
- Definition Classes
- IsolationForestParams
-
def
setParent(parent: Estimator[IsolationForestModel]): IsolationForestModel
- Definition Classes
- Model
-
def
setPredictionCol(value: String): IsolationForestModel.this.type
- Definition Classes
- IsolationForestParams
-
def
setRandomSeed(value: Long): IsolationForestModel.this.type
- Definition Classes
- IsolationForestParams
-
def
setScoreCol(value: String): IsolationForestModel.this.type
- Definition Classes
- IsolationForestParams
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
def
transform(data: Dataset[_]): DataFrame
- Definition Classes
- IsolationForestModel → Transformer
-
def
transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" )
-
def
transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" ) @varargs()
-
def
transformSchema(schema: StructType): StructType
- Definition Classes
- IsolationForestModel → PipelineStage
-
val
uid: String
- Definition Classes
- IsolationForestModel → SynapseMLLogging → Identifiable
-
def
write: MLWriter
- Definition Classes
- ComplexParamsWritable → MLWritable