IsotonicRegression

public final class IsotonicRegression

Solves a batch of isotonic regression problems.

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

static <U extends TNumber> IsotonicRegression<U>	create(Scope scope, Operand<? extends TNumber> input, Class<U> outputDtype) Factory method to create a class wrapping a new IsotonicRegression operation.
static IsotonicRegression<TFloat32>	create(Scope scope, Operand<? extends TNumber> input) Factory method to create a class wrapping a new IsotonicRegression operation using default output types.
Output<U>	output() A (batch_size, dim)-tensor holding the per-batch element solutions.
Output<TInt32>	segments() An int32 (batch_size, dim)-tensor with the segments.

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`.

Constants

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

Constant Value: "IsotonicRegression"

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

scope	current scope
input	A (batch_size, dim)-tensor holding a batch of inputs.
outputDtype	Dtype of output.

Factory method to create a class wrapping a new IsotonicRegression operation using default output types.

scope	current scope
input	A (batch_size, dim)-tensor holding a batch of inputs.

A (batch_size, dim)-tensor holding the per-batch element solutions.

An int32 (batch_size, dim)-tensor with the segments.