RecordInsightsCorr

Instance Constructors

new RecordInsightsCorr(uid: String = UID[RecordInsightsCorr])

uid
uid for instance

Type Members

final type InputFeatures = (FeatureLike[OPVector], FeatureLike[OPVector])

Definition Classes
OpPipelineStage2 → OpPipelineStage → InputParams
final type OutputFeatures = FeatureLike[TextMap]

Definition Classes
OpPipelineStage → OpPipelineStageBase

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 def checkInputLength(features: Array[_]): Boolean

Definition Classes
OpPipelineStage2 → InputParams
final def checkSerializable: Try[Unit]

Definition Classes
BinaryEstimator → OpPipelineStageBase
final def clear(param: Param[_]): RecordInsightsCorr.this.type

Definition Classes
Params
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
val convertI1: FeatureTypeSparkConverter[OPVector]

Definition Classes
BinaryEstimator
val convertI2: FeatureTypeSparkConverter[OPVector]

Definition Classes
BinaryEstimator
final def copy(extra: ParamMap): RecordInsightsCorr.this.type

Definition Classes
OpPipelineStageBase → Params
def copyValues[T <: Params](to: T, extra: ParamMap): T

Attributes
protected
Definition Classes
Params
final val correlationType: Param[CorrelationType]
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[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def fit(dataset: Dataset[_]): BinaryModel[OPVector, OPVector, TextMap]

Definition Classes
BinaryEstimator → Estimator
def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[BinaryModel[OPVector, OPVector, TextMap]]

Definition Classes
Estimator
Annotations
@Since( "2.0.0" )
def fit(dataset: Dataset[_], paramMap: ParamMap): BinaryModel[OPVector, OPVector, TextMap]

Definition Classes
Estimator
Annotations
@Since( "2.0.0" )
def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): BinaryModel[OPVector, OPVector, TextMap]

Definition Classes
Estimator
Annotations
@Since( "2.0.0" ) @varargs()
def fitFn(dataset: Dataset[(Vector, Vector)]): RecordInsightsCorrModel

Definition Classes
RecordInsightsCorr → BinaryEstimator
final def get[T](param: Param[T]): Option[T]

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

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

Definition Classes
Params
final def getInputFeature[T <: FeatureType](i: Int): Option[FeatureLike[T]]

Definition Classes
InputParams
final def getInputFeatures(): Array[OPFeature]

Definition Classes
InputParams
final def getInputSchema(): StructType

Definition Classes
OpPipelineStageParams
final def getMetadata(): Metadata

Definition Classes
OpPipelineStageParams
def getNormType: NormType
final def getOrDefault[T](param: Param[T]): T

Definition Classes
Params
def getOutput(): FeatureLike[TextMap]

Definition Classes
HasOut
final def getOutputFeatureName: String

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

Definition Classes
Params
def getTopK: Int
final def getTransientFeature(i: Int): Option[TransientFeature]

Definition Classes
InputParams
final def getTransientFeatures(): Array[TransientFeature]

Definition Classes
InputParams
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
implicit val i1Encoder: Encoder[Value]

Definition Classes
BinaryEstimator
implicit val i2Encoder: Encoder[Value]

Definition Classes
BinaryEstimator
final def in1: TransientFeature

Attributes
protected
Definition Classes
HasIn1
final def in2: TransientFeature

Attributes
protected
Definition Classes
HasIn2
def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

Attributes
protected
Definition Classes
Logging
def initializeLogIfNecessary(isInterpreter: Boolean): Unit

Attributes
protected
Definition Classes
Logging
final def inputAsArray(in: InputFeatures): Array[OPFeature]

Definition Classes
OpPipelineStage2 → InputParams
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 def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final val normType: Param[NormType]
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def onGetMetadata(): Unit

Attributes
protected
Definition Classes
OpPipelineStageParams
def onSetInput(): Unit

Note it is not strictly necessary for in1 to be a response but this is the only way of verifying the order of the inputs
Note it is not strictly necessary for in1 to be a response but this is the only way of verifying the order of the inputs

Attributes
protected
Definition Classes
RecordInsightsCorr → InputParams
val operationName: String

Definition Classes
BinaryEstimator → OpPipelineStageBase
final def outputAsArray(out: OutputFeatures): Array[OPFeature]

Definition Classes
OpPipelineStage → OpPipelineStageBase
def outputFeatureUid: String

Attributes
protected[com.salesforce.op]
Definition Classes
OpPipelineStage2 → OpPipelineStage
def outputIsResponse: Boolean

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

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

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

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

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

Definition Classes
Params
def setCorrelationType(value: CorrelationType): RecordInsightsCorr.this.type
final def setDefault(paramPairs: ParamPair[_]*): RecordInsightsCorr.this.type

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

Attributes
protected
Definition Classes
Params
final def setInput(features: InputFeatures): RecordInsightsCorr.this.type

Definition Classes
OpPipelineStageBase
final def setInputFeatures[S <: OPFeature](features: Array[S]): RecordInsightsCorr.this.type

Attributes
protected
Definition Classes
InputParams
final def setMetadata(m: Metadata): RecordInsightsCorr.this.type

Definition Classes
OpPipelineStageParams
def setNormType(value: NormType): RecordInsightsCorr.this.type
def setOutputFeatureName(name: String): RecordInsightsCorr.this.type

Definition Classes
OpPipelineStage
def setTopK(value: Int): RecordInsightsCorr.this.type
final def stageName: String

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

Definition Classes
AnyRef
def toString(): String

Definition Classes
Identifiable → AnyRef → Any
final val topK: IntParam
final def transformSchema(schema: StructType): StructType

Definition Classes
OpPipelineStageBase
def transformSchema(schema: StructType, logging: Boolean): StructType

Attributes
protected
Definition Classes
PipelineStage
Annotations
@DeveloperApi()
implicit val tti1: scala.reflect.api.JavaUniverse.TypeTag[OPVector]

Definition Classes
BinaryEstimator
implicit val tti2: scala.reflect.api.JavaUniverse.TypeTag[OPVector]

Definition Classes
BinaryEstimator
implicit val ttiv1: scala.reflect.api.JavaUniverse.TypeTag[Value]

Definition Classes
BinaryEstimator
implicit val ttiv2: scala.reflect.api.JavaUniverse.TypeTag[Value]

Definition Classes
BinaryEstimator
implicit val tto: scala.reflect.api.JavaUniverse.TypeTag[TextMap]

Definition Classes
BinaryEstimator → HasOut
implicit val ttov: scala.reflect.api.JavaUniverse.TypeTag[features.types.TextMap.Value]

Definition Classes
BinaryEstimator → HasOut
implicit val tupleEncoder: Encoder[(Value, Value)]

Definition Classes
BinaryEstimator
val uid: String

uid for instance
uid for instance

Definition Classes
BinaryEstimator → 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( ... )
final def write: MLWriter

Definition Classes
OpPipelineStageBase → MLWritable

Related Doc: package insights

class RecordInsightsCorr extends BinaryEstimator[OPVector, OPVector, TextMap]

Instance Constructors

new RecordInsightsCorr(uid: String = UID[RecordInsightsCorr])

Type Members

final type InputFeatures = (FeatureLike[OPVector], FeatureLike[OPVector])

final type OutputFeatures = FeatureLike[TextMap]

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 def checkInputLength(features: Array[_]): Boolean

final def checkSerializable: Try[Unit]

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

def clone(): AnyRef

val convertI1: FeatureTypeSparkConverter[OPVector]

val convertI2: FeatureTypeSparkConverter[OPVector]

final def copy(extra: ParamMap): RecordInsightsCorr.this.type

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

final val correlationType: Param[CorrelationType]

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

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

def finalize(): Unit

def fit(dataset: Dataset[_]): BinaryModel[OPVector, OPVector, TextMap]

def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[BinaryModel[OPVector, OPVector, TextMap]]

def fit(dataset: Dataset[_], paramMap: ParamMap): BinaryModel[OPVector, OPVector, TextMap]

def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): BinaryModel[OPVector, OPVector, TextMap]

def fitFn(dataset: Dataset[(Vector, Vector)]): RecordInsightsCorrModel

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

final def getClass(): Class[_]

def getCorrelationType: CorrelationType

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

final def getInputFeature[T <: FeatureType](i: Int): Option[FeatureLike[T]]

final def getInputFeatures(): Array[OPFeature]

final def getInputSchema(): StructType

final def getMetadata(): Metadata

def getNormType: NormType

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

def getOutput(): FeatureLike[TextMap]

final def getOutputFeatureName: String

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

def getTopK: Int

final def getTransientFeature(i: Int): Option[TransientFeature]

final def getTransientFeatures(): Array[TransientFeature]

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

def hasParam(paramName: String): Boolean

def hashCode(): Int

implicit val i1Encoder: Encoder[Value]

implicit val i2Encoder: Encoder[Value]

final def in1: TransientFeature

final def in2: TransientFeature

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

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

final def inputAsArray(in: InputFeatures): Array[OPFeature]

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 def ne(arg0: AnyRef): Boolean

final val normType: Param[NormType]