TDigestFIModel

Instance Constructors

new TDigestFIModel(uid: String, featTD: Array[TDigest], spark: SparkSession)

Value Members

final def !=(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def !=(arg0: Any): Boolean

Definition Classes
Any
final def ##(): Int

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

Attributes
protected
Definition Classes
Params
final def ==(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def ==(arg0: Any): Boolean

Definition Classes
Any
final def asInstanceOf[T0]: T0

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

Definition Classes
Params
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def copy(extra: ParamMap): TDigestFIModel

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

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

Attributes
protected
Definition Classes
Params
final val deviationMeasure: Param[String]

Function to measure the change resulting from randomizing a feature value.
Function to measure the change resulting from randomizing a feature value. Defaults to "auto" (detects whether model is regression or classification). Options: "auto", "dev-rate" (class), "abs-dev" (reg), "rms-dev" (reg)

Definition Classes
TDigestFIModelParams
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 featureNames: StringArrayParam

Names to use for features.
Names to use for features. Defaults to f1, f2, ...

Definition Classes
TDigestFIModelParams
final val featuresCol: Param[String]

Column containing feature vectors.
Column containing feature vectors. Expected type is ML Vector. Defaults to "features"

Definition Classes
HasFeaturesCol
def finalize(): Unit

Definition Classes
TDigestFIModel → AnyRef
final def get[T](param: Param[T]): Option[T]

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

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

Definition Classes
Params
final def getDeviationMeasure: String

Definition Classes
TDigestFIModelParams
final def getFeatureNames: Array[String]

Definition Classes
TDigestFIModelParams
final def getFeaturesCol: String

Definition Classes
HasFeaturesCol
final def getImportanceCol: String

Definition Classes
TDigestFIModelParams
final def getNameCol: String

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

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

Definition Classes
Params
final def getTargetModel: AnyRef

Definition Classes
TDigestFIModelParams
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 importanceCol: Param[String]

Column name to use for feature importances.
Column name to use for feature importances. Defaults to "importance"

Definition Classes
TDigestFIModelParams
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 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 nameCol: Param[String]

Column name to use for feature names.
Column name to use for feature names. Defaults to "name"

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

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

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

Definition Classes
Params
var parent: Estimator[TDigestFIModel]

Definition Classes
Model
def save(path: String): Unit

Definition Classes
MLWritable
Annotations
@Since( "1.6.0" ) @throws( ... )
final def set(paramPair: ParamPair[_]): TDigestFIModel.this.type

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

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

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

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

Attributes
protected
Definition Classes
Params
final def setDeviationMeasure(value: String): TDigestFIModel.this.type

Definition Classes
TDigestFIModelParams
final def setFeatureNames(value: Array[String]): TDigestFIModel.this.type

Definition Classes
TDigestFIModelParams
final def setFeaturesCol(value: String): TDigestFIModel.this.type

Definition Classes
HasFeaturesCol
final def setImportanceCol(value: String): TDigestFIModel.this.type

Definition Classes
TDigestFIModelParams
final def setNameCol(value: String): TDigestFIModel.this.type

Definition Classes
TDigestFIModelParams
def setParent(parent: Estimator[TDigestFIModel]): TDigestFIModel

Definition Classes
Model
final def setTargetModel(value: AnyRef): TDigestFIModel.this.type

Definition Classes
TDigestFIModelParams
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
final val targetModel: Param[AnyRef]

A predictive model to compute variable importances against.
A predictive model to compute variable importances against. No default.

Definition Classes
TDigestFIModelParams
def toString(): String

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

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

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

Definition Classes
TDigestFIModel → 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( ... )
def write: MLWriter

Definition Classes
DefaultParamsWritable → MLWritable

class TDigestFIModel extends Model[TDigestFIModel] with TDigestFIModelParams

Instance Constructors

new TDigestFIModel(uid: String, featTD: Array[TDigest], spark: SparkSession)

Value Members

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

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

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

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

def clone(): AnyRef

def copy(extra: ParamMap): TDigestFIModel

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

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

final val deviationMeasure: Param[String]

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 featureNames: StringArrayParam

final val featuresCol: Param[String]

def finalize(): Unit

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

final def getClass(): Class[_]

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

final def getDeviationMeasure: String

final def getFeatureNames: Array[String]

final def getFeaturesCol: String

final def getImportanceCol: String

final def getNameCol: String

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

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

final def getTargetModel: AnyRef

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

def hasParam(paramName: String): Boolean

def hasParent: Boolean

def hashCode(): Int

final val importanceCol: Param[String]

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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

final def isInstanceOf[T0]: Boolean

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

def isTraceEnabled(): Boolean

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 nameCol: Param[String]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

lazy val params: Array[Param[_]]

var parent: Estimator[TDigestFIModel]

def save(path: String): Unit

final def set(paramPair: ParamPair[_]): TDigestFIModel.this.type

final def set(param: String, value: Any): TDigestFIModel.this.type

final def set[T](param: Param[T], value: T): TDigestFIModel.this.type

final def setDefault(paramPairs: ParamPair[_]*): TDigestFIModel.this.type

final def setDefault[T](param: Param[T], value: T): TDigestFIModel.this.type

final def setDeviationMeasure(value: String): TDigestFIModel.this.type

final def setFeatureNames(value: Array[String]): TDigestFIModel.this.type

final def setFeaturesCol(value: String): TDigestFIModel.this.type

final def setImportanceCol(value: String): TDigestFIModel.this.type

final def setNameCol(value: String): TDigestFIModel.this.type

def setParent(parent: Estimator[TDigestFIModel]): TDigestFIModel

final def setTargetModel(value: AnyRef): TDigestFIModel.this.type

final def synchronized[T0](arg0: ⇒ T0): T0