class ValueIndexer extends Estimator[ValueIndexerModel] with ValueIndexerParams with SynapseMLLogging
Fits a dictionary of values from the input column. Model then transforms a column to a categorical column of the given array of values. Similar to StringIndexer except it can be used on any value types.
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classNameHelper: String
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def
clear(param: Param[_]): ValueIndexer.this.type
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companionModelClassName: String
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def
copy(extra: ParamMap): Estimator[ValueIndexerModel]
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def
copyValues[T <: Params](to: T, extra: ParamMap): T
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lazy val
copyrightLines: String
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defaultCopy[T <: Params](extra: ParamMap): T
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explainParam(param: Param[_]): String
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explainParams(): String
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def
extractParamMap(): ParamMap
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extractParamMap(extra: ParamMap): ParamMap
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finalize(): Unit
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def
fit(dataset: Dataset[_]): ValueIndexerModel
Fits the dictionary of values from the input column.
Fits the dictionary of values from the input column.
- dataset
The input dataset to train.
- returns
The model for transforming columns to categorical.
- Definition Classes
- ValueIndexer → Estimator
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def
fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[ValueIndexerModel]
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def
fit(dataset: Dataset[_], paramMap: ParamMap): ValueIndexerModel
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def
fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): ValueIndexerModel
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getClass(): Class[_]
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def
getDefault[T](param: Param[T]): Option[T]
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def
getInputCol: String
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final
def
getOrDefault[T](param: Param[T]): T
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def
getOutputCol: String
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getParam(paramName: String): Param[Any]
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def
getParamInfo(p: Param[_]): ParamInfo[_]
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def
getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
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hasDefault[T](param: Param[T]): Boolean
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initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
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val
inputCol: Param[String]
The name of the input column
The name of the input column
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- HasInputCol
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final
def
isDefined(param: Param[_]): Boolean
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isTraceEnabled(): Boolean
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def
log: Logger
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def
logBase(info: Map[String, String], featureName: Option[String]): Unit
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def
logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
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logClass(featureName: String): Unit
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logErrorBase(methodName: String, e: Exception): Unit
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logFit[T](f: ⇒ T, columns: Int): T
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logInfo(msg: ⇒ String): Unit
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logName: String
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logTrace(msg: ⇒ String, throwable: Throwable): Unit
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logTrace(msg: ⇒ String): Unit
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def
logTransform[T](f: ⇒ T, columns: Int): T
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def
logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
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logWarning(msg: ⇒ String, throwable: Throwable): Unit
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val
outputCol: Param[String]
The name of the output column
The name of the output column
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lazy val
params: Array[Param[_]]
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pyAdditionalMethods: String
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pyClassDoc: String
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pyClassName: String
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pyExtraEstimatorImports: String
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pyExtraEstimatorMethods: String
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pyInheritedClasses: Seq[String]
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pyInitFunc(): String
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pyObjectBaseClass: String
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pyParamGetter(p: Param[_]): String
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pyParamsDefaults: String
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lazy val
pyParamsDefinitions: String
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def
pyParamsGetters: String
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def
pyParamsSetters: String
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def
pythonClass(): String
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def
rClass(): String
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def
rDocString: String
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def
rExtraBodyLines: String
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def
rExtraInitLines: String
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lazy val
rFuncName: String
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lazy val
rInternalWrapper: Boolean
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rParamArg[T](p: Param[T]): String
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rParamsArgs: String
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def
rSetterLines: String
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def
save(path: String): Unit
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final
def
set(paramPair: ParamPair[_]): ValueIndexer.this.type
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final
def
set(param: String, value: Any): ValueIndexer.this.type
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final
def
set[T](param: Param[T], value: T): ValueIndexer.this.type
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final
def
setDefault(paramPairs: ParamPair[_]*): ValueIndexer.this.type
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final
def
setDefault[T](param: Param[T], value: T): ValueIndexer.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
-
def
setInputCol(value: String): ValueIndexer.this.type
- Definition Classes
- HasInputCol
-
def
setOutputCol(value: String): ValueIndexer.this.type
- Definition Classes
- HasOutputCol
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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val
thisStage: Params
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def
toString(): String
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- Identifiable → AnyRef → Any
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def
transformSchema(schema: StructType): StructType
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- @DeveloperApi()
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def
transformSchema(schema: StructType, logging: Boolean): StructType
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val
uid: String
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- ValueIndexer → SynapseMLLogging → Identifiable
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final
def
wait(): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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wait(arg0: Long): Unit
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def
write: MLWriter
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Inherited from SynapseMLLogging
Value Members
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def
getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
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def
logBase(info: Map[String, String], featureName: Option[String]): Unit
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def
logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
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def
logClass(featureName: String): Unit
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logErrorBase(methodName: String, e: Exception): Unit
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def
logFit[T](f: ⇒ T, columns: Int): T
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def
logTransform[T](f: ⇒ T, columns: Int): T
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def
logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
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Inherited from HasOutputCol
Value Members
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def
getOutputCol: String
- Definition Classes
- HasOutputCol
-
val
outputCol: Param[String]
The name of the output column
The name of the output column
- Definition Classes
- HasOutputCol
-
def
setOutputCol(value: String): ValueIndexer.this.type
- Definition Classes
- HasOutputCol
Inherited from HasInputCol
Value Members
-
def
getInputCol: String
- Definition Classes
- HasInputCol
-
val
inputCol: Param[String]
The name of the input column
The name of the input column
- Definition Classes
- HasInputCol
-
def
setInputCol(value: String): ValueIndexer.this.type
- Definition Classes
- HasInputCol
Inherited from DefaultParamsWritable
Value Members
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def
write: MLWriter
- Definition Classes
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Inherited from MLWritable
Inherited from RWrappable
Value Members
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def
makeRFile(conf: CodegenConfig): Unit
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def
rClass(): String
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def
rDocString: String
- Attributes
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- Definition Classes
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def
rExtraBodyLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
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def
rExtraInitLines: String
- Attributes
- protected
- Definition Classes
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lazy val
rFuncName: String
- Attributes
- protected
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lazy val
rInternalWrapper: Boolean
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- protected
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- RWrappable
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def
rParamArg[T](p: Param[T]): String
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def
rParamsArgs: String
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def
rSetterLines: String
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Inherited from PythonWrappable
Value Members
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def
makePyFile(conf: CodegenConfig): Unit
- Definition Classes
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def
pyAdditionalMethods: String
- Definition Classes
- PythonWrappable
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lazy val
pyClassDoc: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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lazy val
pyClassName: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyExtraEstimatorImports: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyExtraEstimatorMethods: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
lazy val
pyInheritedClasses: Seq[String]
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyInitFunc(): String
- Definition Classes
- PythonWrappable
-
lazy val
pyInternalWrapper: Boolean
- Attributes
- protected
- Definition Classes
- PythonWrappable
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lazy val
pyObjectBaseClass: String
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- protected
- Definition Classes
- PythonWrappable
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def
pyParamArg[T](p: Param[T]): String
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def
pyParamDefault[T](p: Param[T]): Option[String]
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def
pyParamGetter(p: Param[_]): String
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def
pyParamSetter(p: Param[_]): String
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def
pyParamsArgs: String
- Attributes
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- PythonWrappable
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def
pyParamsDefaults: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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lazy val
pyParamsDefinitions: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamsGetters: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamsSetters: String
- Attributes
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- Definition Classes
- PythonWrappable
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def
pythonClass(): String
- Attributes
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- Definition Classes
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Inherited from BaseWrappable
Value Members
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lazy val
classNameHelper: String
- Attributes
- protected
- Definition Classes
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def
companionModelClassName: String
- Attributes
- protected
- Definition Classes
- BaseWrappable
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lazy val
copyrightLines: String
- Attributes
- protected
- Definition Classes
- BaseWrappable
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def
getParamInfo(p: Param[_]): ParamInfo[_]
- Definition Classes
- BaseWrappable
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val
thisStage: Params
- Attributes
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- Definition Classes
- BaseWrappable
Inherited from Estimator[ValueIndexerModel]
Value Members
-
def
fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[ValueIndexerModel]
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" )
-
def
fit(dataset: Dataset[_], paramMap: ParamMap): ValueIndexerModel
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" )
-
def
fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): ValueIndexerModel
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" ) @varargs()
Inherited from PipelineStage
Inherited from Logging
Value Members
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def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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- Logging
-
def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
isTraceEnabled(): Boolean
- Attributes
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- Logging
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def
log: Logger
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- Logging
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def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
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- protected
- Definition Classes
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def
logDebug(msg: ⇒ String): Unit
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def
logError(msg: ⇒ String, throwable: Throwable): Unit
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- protected
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def
logError(msg: ⇒ String): Unit
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def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
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def
logInfo(msg: ⇒ String): Unit
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def
logName: String
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def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
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def
logTrace(msg: ⇒ String): Unit
- Attributes
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def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
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def
logWarning(msg: ⇒ String): Unit
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Inherited from Params
Value Members
-
final
def
$[T](param: Param[T]): T
- Attributes
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final
def
clear(param: Param[_]): ValueIndexer.this.type
- Definition Classes
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-
def
copyValues[T <: Params](to: T, extra: ParamMap): T
- Attributes
- protected
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- Params
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final
def
defaultCopy[T <: Params](extra: ParamMap): T
- Attributes
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def
explainParam(param: Param[_]): String
- Definition Classes
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def
explainParams(): String
- Definition Classes
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final
def
extractParamMap(): ParamMap
- Definition Classes
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final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
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final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
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final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
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final
def
getOrDefault[T](param: Param[T]): T
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def
getParam(paramName: String): Param[Any]
- Definition Classes
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final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
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def
hasParam(paramName: String): Boolean
- Definition Classes
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final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
- Params
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final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
-
lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
final
def
set(paramPair: ParamPair[_]): ValueIndexer.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
set(param: String, value: Any): ValueIndexer.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set[T](param: Param[T], value: T): ValueIndexer.this.type
- Definition Classes
- Params
-
final
def
setDefault(paramPairs: ParamPair[_]*): ValueIndexer.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): ValueIndexer.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
Inherited from Identifiable
Value Members
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
Inherited from AnyRef
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
getParam
-
def
getInputCol: String
- Definition Classes
- HasInputCol
-
def
getOutputCol: String
- Definition Classes
- HasOutputCol
param
-
val
inputCol: Param[String]
The name of the input column
The name of the input column
- Definition Classes
- HasInputCol
-
val
outputCol: Param[String]
The name of the output column
The name of the output column
- Definition Classes
- HasOutputCol
setParam
-
def
setInputCol(value: String): ValueIndexer.this.type
- Definition Classes
- HasInputCol
-
def
setOutputCol(value: String): ValueIndexer.this.type
- Definition Classes
- HasOutputCol
Ungrouped
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
$[T](param: Param[T]): T
- Attributes
- protected
- Definition Classes
- Params
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
lazy val
classNameHelper: String
- Attributes
- protected
- Definition Classes
- BaseWrappable
-
final
def
clear(param: Param[_]): ValueIndexer.this.type
- Definition Classes
- Params
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
def
companionModelClassName: String
- Attributes
- protected
- Definition Classes
- BaseWrappable
-
def
copy(extra: ParamMap): Estimator[ValueIndexerModel]
- Definition Classes
- ValueIndexer → Estimator → PipelineStage → Params
-
def
copyValues[T <: Params](to: T, extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
-
lazy val
copyrightLines: String
- Attributes
- protected
- Definition Classes
- BaseWrappable
-
final
def
defaultCopy[T <: Params](extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
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
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
def
fit(dataset: Dataset[_]): ValueIndexerModel
Fits the dictionary of values from the input column.
Fits the dictionary of values from the input column.
- dataset
The input dataset to train.
- returns
The model for transforming columns to categorical.
- Definition Classes
- ValueIndexer → Estimator
-
def
fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[ValueIndexerModel]
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" )
-
def
fit(dataset: Dataset[_], paramMap: ParamMap): ValueIndexerModel
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" )
-
def
fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): ValueIndexerModel
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" ) @varargs()
-
final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
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
-
def
getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
- Attributes
- protected
- Definition Classes
- SynapseMLLogging
-
final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
-
def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
- Attributes
- protected
- Definition Classes
- Logging
-
def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
- Params
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
-
def
isTraceEnabled(): Boolean
- Attributes
- protected
- Definition Classes
- Logging
-
def
log: Logger
- Attributes
- protected
- Definition Classes
- Logging
-
def
logBase(info: Map[String, String], featureName: Option[String]): Unit
- Attributes
- protected
- Definition Classes
- SynapseMLLogging
-
def
logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
- Attributes
- protected
- Definition Classes
- SynapseMLLogging
-
def
logClass(featureName: String): Unit
- Definition Classes
- SynapseMLLogging
-
def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logDebug(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logError(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logError(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logErrorBase(methodName: String, e: Exception): Unit
- Attributes
- protected
- Definition Classes
- SynapseMLLogging
-
def
logFit[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
-
def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logInfo(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logName: String
- Attributes
- protected
- Definition Classes
- Logging
-
def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logTrace(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
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
logWarning(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logWarning(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
makePyFile(conf: CodegenConfig): Unit
- Definition Classes
- PythonWrappable
-
def
makeRFile(conf: CodegenConfig): Unit
- Definition Classes
- RWrappable
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
def
pyAdditionalMethods: String
- Definition Classes
- PythonWrappable
-
lazy val
pyClassDoc: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
lazy val
pyClassName: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyExtraEstimatorImports: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyExtraEstimatorMethods: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
lazy val
pyInheritedClasses: Seq[String]
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyInitFunc(): String
- Definition Classes
- PythonWrappable
-
lazy val
pyInternalWrapper: Boolean
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
lazy val
pyObjectBaseClass: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamArg[T](p: Param[T]): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamDefault[T](p: Param[T]): Option[String]
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamGetter(p: Param[_]): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamSetter(p: Param[_]): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamsArgs: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamsDefaults: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
lazy val
pyParamsDefinitions: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamsGetters: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamsSetters: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pythonClass(): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
rClass(): String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rDocString: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rExtraBodyLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rExtraInitLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
lazy val
rFuncName: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
lazy val
rInternalWrapper: Boolean
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rParamArg[T](p: Param[T]): String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rParamsArgs: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rSetterLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
-
final
def
set(paramPair: ParamPair[_]): ValueIndexer.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set(param: String, value: Any): ValueIndexer.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set[T](param: Param[T], value: T): ValueIndexer.this.type
- Definition Classes
- Params
-
final
def
setDefault(paramPairs: ParamPair[_]*): ValueIndexer.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): ValueIndexer.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
val
thisStage: Params
- Attributes
- protected
- Definition Classes
- BaseWrappable
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
def
transformSchema(schema: StructType): StructType
- Definition Classes
- ValueIndexer → PipelineStage
- Annotations
- @DeveloperApi()
-
def
transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
-
val
uid: String
- Definition Classes
- ValueIndexer → SynapseMLLogging → Identifiable
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
def
write: MLWriter
- Definition Classes
- DefaultParamsWritable → MLWritable