ImportanceAnalysis

Instance Constructors

new ImportanceAnalysis(sqlContext: SQLContext, featureSource: FeatureSource, labelSource: LabelSource, rfParams: RandomForestParams, nTrees: Int, rfBatchSize: Int, varOrdinalLevels: Int)

Create a new Importance Analysis by specifying the parameters listed below
Create a new Importance Analysis by specifying the parameters listed below
sqlContext
The SQL context.
featureSource
The feature source.
labelSource
The label source.
rfParams
The Random Forest parameters.
nTrees
The number of Decision Trees.
rfBatchSize
The batch size of the Random Forest
varOrdinalLevels
The level of ordinal

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

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

Definition Classes
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final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
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Annotations
@throws( ... )
final def eq(arg0: AnyRef): Boolean

Definition Classes
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def equals(arg0: Any): Boolean

Definition Classes
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val featureSource: FeatureSource

The feature source.
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
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def hashCode(): Int

Definition Classes
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def importantVariables(nTopLimit: Int = 100): Seq[(String, Double)]
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val labelSource: LabelSource

The label source.
val nTrees: Int

The number of Decision Trees.
final def ne(arg0: AnyRef): Boolean

Definition Classes
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final def notify(): Unit

Definition Classes
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final def notifyAll(): Unit

Definition Classes
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val rfBatchSize: Int

The batch size of the Random Forest
lazy val rfModel: RandomForestModel[Array[Byte]]
val rfParams: RandomForestParams

The Random Forest parameters.
val sqlContext: SQLContext

The SQL context.
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
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def toString(): String

Definition Classes
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def variableImportance: DataFrame
val variableImportanceSchema: StructType
final def wait(): Unit

Definition Classes
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Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
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Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
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Annotations
@throws( ... )

Related Docs: object ImportanceAnalysis | package api

class ImportanceAnalysis extends AnyRef

Instance Constructors

new ImportanceAnalysis(sqlContext: SQLContext, featureSource: FeatureSource, labelSource: LabelSource, rfParams: RandomForestParams, nTrees: Int, rfBatchSize: Int, varOrdinalLevels: Int)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

val featureSource: FeatureSource

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

def importantVariables(nTopLimit: Int = 100): Seq[(String, Double)]

final def isInstanceOf[T0]: Boolean

val labelSource: LabelSource

val nTrees: Int

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val rfBatchSize: Int

lazy val rfModel: RandomForestModel[Array[Byte]]

val rfParams: RandomForestParams

val sqlContext: SQLContext

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

def toString(): String

def variableImportance: DataFrame

val variableImportanceSchema: StructType

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from AnyRef

Inherited from Any

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