BoostedTreesMakeQuantileSummaries

public final class BoostedTreesMakeQuantileSummaries

Makes the summary of quantiles for the batch.

An op that takes a list of tensors (one tensor per feature) and outputs the quantile summaries for each tensor.

Public Methods

static BoostedTreesMakeQuantileSummaries	create(Scope scope, Iterable<Operand<Float>> floatValues, Operand<Float> exampleWeights, Operand<Float> epsilon) Factory method to create a class wrapping a new BoostedTreesMakeQuantileSummaries operation.
Iterator<Operand<Float>>	iterator()
List<Output<Float>>	summaries() float; List of Rank 2 Tensors each containing the quantile summary (value, weight, min_rank, max_rank) of a single feature.

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying Operation
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface java.lang.Iterable

void	forEach(Consumer<? super T> arg0)
abstract Iterator<Operand<Float>>	iterator()
Spliterator<Operand<Float>>	spliterator()

Public Methods

public static BoostedTreesMakeQuantileSummaries create (Scope scope, Iterable<Operand<Float>> floatValues, Operand<Float> exampleWeights, Operand<Float> epsilon)

Factory method to create a class wrapping a new BoostedTreesMakeQuantileSummaries operation.

Parameters

scope	current scope
floatValues	float; List of Rank 1 Tensors each containing values for a single feature.
exampleWeights	float; Rank 1 Tensor with weights per instance.
epsilon	float; The required maximum approximation error.

Returns

• a new instance of BoostedTreesMakeQuantileSummaries

public Iterator<Operand<Float>> iterator ()

public List<Output<Float>> summaries ()

float; List of Rank 2 Tensors each containing the quantile summary (value, weight, min_rank, max_rank) of a single feature.