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.

String OP_NAME The name of this op, as known by TensorFlow core engine

static BoostedTreesMakeQuantileSummaries	create(Scope scope, Iterable<Operand<TFloat32>> floatValues, Operand<TFloat32> exampleWeights, Operand<TFloat32> epsilon) Factory method to create a class wrapping a new BoostedTreesMakeQuantileSummaries operation.
Iterator<Operand<TFloat32>>	iterator()
List<Output<TFloat32>>	summaries() float; List of Rank 2 Tensors each containing the quantile summary (value, weight, min_rank, max_rank) of a single feature.

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

From interface java.lang.Iterable

abstract void	forEach(Consumer<? super T> arg0)
abstract Iterator<Operand<TFloat32>>	iterator()
abstract Spliterator<Operand<TFloat32>>	spliterator()

Constants

The name of this op, as known by TensorFlow core engine

Constant Value: "BoostedTreesMakeQuantileSummaries"

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

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.

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