RfClassificationModelWrapper

Instance Constructors

new RfClassificationModelWrapper(rf: RandomForestClassificationModel)
new RfClassificationModelWrapper(uid: String)

For serialization only
For serialization only

Annotations
@Deprecated
new RfClassificationModelWrapper(_rfModel: RandomForestClassificationModel, uid: String)

Value Members

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
final val cacheNodeIds: BooleanParam

Definition Classes
DecisionTreeParams
final val checkpointInterval: IntParam

Definition Classes
HasCheckpointInterval
final def clear(param: Param[_]): RfClassificationModelWrapper.this.type

Definition Classes
Params
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def copy(summary: ModelSummary, params: ParamMap): RfClassificationModelWrapper

Definition Classes
ModelWithSummary
def copy(blocks: Map[Block, DataFrame], params: ParamMap = ParamMap()): RfClassificationModelWrapper

Definition Classes
ModelWithSummary
def copy(extra: ParamMap): RfClassificationModelWrapper

Definition Classes
ModelWithSummary → Model → Transformer → PipelineStage → Params
def copyValues[T <: Params](to: T, extra: ParamMap): T

Attributes
protected
Definition Classes
Params
def create(): RfClassificationModelWrapper

Attributes
protected
Definition Classes
RfClassificationModelWrapper → ModelWithSummary
final def defaultCopy[T <: Params](extra: ParamMap): T

Attributes
protected
Definition Classes
Params
def disableSaveSummary(): ModelWithSummary[RfClassificationModelWrapper]

Definition Classes
ModelWithSummary
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
final val featureSubsetStrategy: Param[String]

Definition Classes
TreeEnsembleParams
final val featuresCol: Param[String]

Definition Classes
HasFeaturesCol
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def get[T](param: Param[T]): Option[T]

Definition Classes
Params
final def getCacheNodeIds: Boolean

Definition Classes
DecisionTreeParams
final def getCheckpointInterval: Int

Definition Classes
HasCheckpointInterval
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
final def getDefault[T](param: Param[T]): Option[T]

Definition Classes
Params
final def getFeatureSubsetStrategy: String

Definition Classes
TreeEnsembleParams
final def getFeaturesCol: String

Definition Classes
HasFeaturesCol
final def getImpurity: String

Definition Classes
TreeClassifierParams
final def getLabelCol: String

Definition Classes
HasLabelCol
final def getMaxBins: Int

Definition Classes
DecisionTreeParams
final def getMaxDepth: Int

Definition Classes
DecisionTreeParams
final def getMaxMemoryInMB: Int

Definition Classes
DecisionTreeParams
final def getMinInfoGain: Double

Definition Classes
DecisionTreeParams
final def getMinInstancesPerNode: Int

Definition Classes
DecisionTreeParams
final def getNumTrees: Int

Definition Classes
RandomForestParams
final def getOrDefault[T](param: Param[T]): T

Definition Classes
Params
def getParam(paramName: String): Param[Any]

Definition Classes
Params
final def getPredictionCol: String

Definition Classes
HasPredictionCol
final def getSeed: Long

Definition Classes
HasSeed
final def getSubsamplingRate: Double

Definition Classes
TreeEnsembleParams
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
def hashCode(): Int

Definition Classes
AnyRef → Any
final val impurity: Param[String]

Definition Classes
TreeClassifierParams
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
def isSaveSummaryEnabled: Boolean

Definition Classes
ModelWithSummary
final def isSet(param: Param[_]): Boolean

Definition Classes
Params
def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
final val labelCol: Param[String]

Definition Classes
HasLabelCol
def log: Logger

Attributes
protected
Definition Classes
Logging
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 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 logWarning(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
final val maxBins: IntParam

Definition Classes
DecisionTreeParams
final val maxDepth: IntParam

Definition Classes
DecisionTreeParams
final val maxMemoryInMB: IntParam

Definition Classes
DecisionTreeParams
final val minInfoGain: DoubleParam

Definition Classes
DecisionTreeParams
final val minInstancesPerNode: IntParam

Definition Classes
DecisionTreeParams
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
final val numTrees: IntParam

Definition Classes
RandomForestParams
lazy val params: Array[Param[_]]

Definition Classes
Params
var parent: Estimator[RfClassificationModelWrapper]

Definition Classes
Model
final val predictionCol: Param[String]

Definition Classes
HasPredictionCol
def rfModel: RandomForestClassificationModel
def save(path: String): Unit

Definition Classes
MLWritable
Annotations
@Since( "1.6.0" ) @throws( ... )
final val seed: LongParam

Definition Classes
HasSeed
final def set(paramPair: ParamPair[_]): RfClassificationModelWrapper.this.type

Attributes
protected
Definition Classes
Params
final def set(param: String, value: Any): RfClassificationModelWrapper.this.type

Attributes
protected
Definition Classes
Params
final def set[T](param: Param[T], value: T): RfClassificationModelWrapper.this.type

Definition Classes
Params
final def setDefault(paramPairs: ParamPair[_]*): RfClassificationModelWrapper.this.type

Attributes
protected
Definition Classes
Params
final def setDefault[T](param: Param[T], value: T): RfClassificationModelWrapper.this.type

Attributes
protected
Definition Classes
Params
def setParent(parent: Estimator[RfClassificationModelWrapper]): RfClassificationModelWrapper

Definition Classes
Model
final val subsamplingRate: DoubleParam

Definition Classes
TreeEnsembleParams
def summary: ModelSummary

Definition Classes
ModelWithSummary
val summaryParam: Param[ModelSummary]

Attributes
protected
Definition Classes
ModelWithSummary
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
Identifiable → AnyRef → Any
def transform(dataset: Dataset[_]): DataFrame

Definition Classes
RfClassificationModelWrapper → 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
RfClassificationModelWrapper → PipelineStage
def transformSchema(schema: StructType, logging: Boolean): StructType

Attributes
protected
Definition Classes
PipelineStage
Annotations
@DeveloperApi()
val uid: String

Definition Classes
RfClassificationModelWrapper → Identifiable
def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType

Attributes
protected
Definition Classes
PredictorParams
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( ... )
def write: WithSummaryWriter[RfClassificationModelWrapper]

Definition Classes
RfClassificationModelWrapper → ModelWithSummary → MLWritable

Deprecated Value Members

def setCacheNodeIds(value: Boolean): RfClassificationModelWrapper.this.type

Definition Classes
DecisionTreeParams
Annotations
@deprecated
Deprecated
(Since version 2.1.0) This method is deprecated and will be removed in 3.0.0.
def setCheckpointInterval(value: Int): RfClassificationModelWrapper.this.type

Definition Classes
DecisionTreeParams
Annotations
@deprecated
Deprecated
(Since version 2.1.0) This method is deprecated and will be removed in 3.0.0.
def setFeatureSubsetStrategy(value: String): RfClassificationModelWrapper.this.type

Definition Classes
TreeEnsembleParams
Annotations
@deprecated
Deprecated
(Since version 2.1.0) This method is deprecated and will be removed in 3.0.0.
def setImpurity(value: String): RfClassificationModelWrapper.this.type

Definition Classes
TreeClassifierParams
Annotations
@deprecated
Deprecated
(Since version 2.1.0) This method is deprecated and will be removed in 3.0.0.
def setMaxBins(value: Int): RfClassificationModelWrapper.this.type

Definition Classes
DecisionTreeParams
Annotations
@deprecated
Deprecated
(Since version 2.1.0) This method is deprecated and will be removed in 3.0.0.
def setMaxDepth(value: Int): RfClassificationModelWrapper.this.type

Definition Classes
DecisionTreeParams
Annotations
@deprecated
Deprecated
(Since version 2.1.0) This method is deprecated and will be removed in 3.0.0.
def setMaxMemoryInMB(value: Int): RfClassificationModelWrapper.this.type

Definition Classes
DecisionTreeParams
Annotations
@deprecated
Deprecated
(Since version 2.1.0) This method is deprecated and will be removed in 3.0.0.
def setMinInfoGain(value: Double): RfClassificationModelWrapper.this.type

Definition Classes
DecisionTreeParams
Annotations
@deprecated
Deprecated
(Since version 2.1.0) This method is deprecated and will be removed in 3.0.0.
def setMinInstancesPerNode(value: Int): RfClassificationModelWrapper.this.type

Definition Classes
DecisionTreeParams
Annotations
@deprecated
Deprecated
(Since version 2.1.0) This method is deprecated and will be removed in 3.0.0.
def setNumTrees(value: Int): RfClassificationModelWrapper.this.type

Definition Classes
RandomForestParams
Annotations
@deprecated
Deprecated
(Since version 2.1.0) This method is deprecated and will be removed in 3.0.0.
def setSeed(value: Long): RfClassificationModelWrapper.this.type

Definition Classes
DecisionTreeParams
Annotations
@deprecated
Deprecated
(Since version 2.1.0) This method is deprecated and will be removed in 3.0.0.
def setSubsamplingRate(value: Double): RfClassificationModelWrapper.this.type

Definition Classes
TreeEnsembleParams
Annotations
@deprecated
Deprecated
(Since version 2.1.0) This method is deprecated and will be removed in 3.0.0.

Related Docs: object RfClassificationModelWrapper | package odkl

class RfClassificationModelWrapper extends Model[RfClassificationModelWrapper] with ModelWithSummary[RfClassificationModelWrapper] with PredictorParams with RandomForestClassifierParams

Instance Constructors

new RfClassificationModelWrapper(rf: RandomForestClassificationModel)

new RfClassificationModelWrapper(uid: String)

new RfClassificationModelWrapper(_rfModel: RandomForestClassificationModel, uid: String)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def $[T](param: Param[T]): T

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

final val cacheNodeIds: BooleanParam

final val checkpointInterval: IntParam

final def clear(param: Param[_]): RfClassificationModelWrapper.this.type

def clone(): AnyRef

def copy(summary: ModelSummary, params: ParamMap): RfClassificationModelWrapper

def copy(blocks: Map[Block, DataFrame], params: ParamMap = ParamMap()): RfClassificationModelWrapper

def copy(extra: ParamMap): RfClassificationModelWrapper

def copyValues[T <: Params](to: T, extra: ParamMap): T

def create(): RfClassificationModelWrapper

final def defaultCopy[T <: Params](extra: ParamMap): T

def disableSaveSummary(): ModelWithSummary[RfClassificationModelWrapper]

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def explainParam(param: Param[_]): String

def explainParams(): String

final def extractParamMap(): ParamMap

final def extractParamMap(extra: ParamMap): ParamMap

final val featureSubsetStrategy: Param[String]

final val featuresCol: Param[String]

def finalize(): Unit

final def get[T](param: Param[T]): Option[T]

final def getCacheNodeIds: Boolean

final def getCheckpointInterval: Int

final def getClass(): Class[_]

final def getDefault[T](param: Param[T]): Option[T]

final def getFeatureSubsetStrategy: String

final def getFeaturesCol: String

final def getImpurity: String

final def getLabelCol: String

final def getMaxBins: Int

final def getMaxDepth: Int

final def getMaxMemoryInMB: Int

final def getMinInfoGain: Double

final def getMinInstancesPerNode: Int

final def getNumTrees: Int

final def getOrDefault[T](param: Param[T]): T

def getParam(paramName: String): Param[Any]

final def getPredictionCol: String

final def getSeed: Long

final def getSubsamplingRate: Double

final def hasDefault[T](param: Param[T]): Boolean

def hasParam(paramName: String): Boolean

def hasParent: Boolean

def hashCode(): Int

final val impurity: Param[String]

def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

final def isDefined(param: Param[_]): Boolean

final def isInstanceOf[T0]: Boolean

def isSaveSummaryEnabled: Boolean

final def isSet(param: Param[_]): Boolean

def isTraceEnabled(): Boolean

final val labelCol: Param[String]

def log: Logger

def logDebug(msg: ⇒ String, throwable: Throwable): Unit

def logDebug(msg: ⇒ String): Unit

def logError(msg: ⇒ String, throwable: Throwable): Unit

def logError(msg: ⇒ String): Unit

def logInfo(msg: ⇒ String, throwable: Throwable): Unit

def logInfo(msg: ⇒ String): Unit

def logName: String

def logTrace(msg: ⇒ String, throwable: Throwable): Unit

def logTrace(msg: ⇒ String): Unit

def logWarning(msg: ⇒ String, throwable: Throwable): Unit

def logWarning(msg: ⇒ String): Unit

final val maxBins: IntParam

final val maxDepth: IntParam