BoostedTreesCenterBias

public final class BoostedTreesCenterBias

Calculates the prior from the training data (the bias) and fills in the first node with the logits' prior. Returns a boolean indicating whether to continue centering.

Public Methods

Output<Boolean>	asOutput() Returns the symbolic handle of a tensor.
Output<Boolean>	continueCentering() Bool, whether to continue bias centering.
static BoostedTreesCenterBias	create(Scope scope, Operand<?> treeEnsembleHandle, Operand<Float> meanGradients, Operand<Float> meanHessians, Operand<Float> l1, Operand<Float> l2) Factory method to create a class wrapping a new BoostedTreesCenterBias operation.

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 org.tensorflow.Operand

abstract Output<Boolean>

asOutput() Returns the symbolic handle of a tensor.

Public Methods

public Output<Boolean> asOutput ()

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public Output<Boolean> continueCentering ()

Bool, whether to continue bias centering.

public static BoostedTreesCenterBias create (Scope scope, Operand<?> treeEnsembleHandle, Operand<Float> meanGradients, Operand<Float> meanHessians, Operand<Float> l1, Operand<Float> l2)

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

Parameters

scope	current scope
treeEnsembleHandle	Handle to the tree ensemble.
meanGradients	A tensor with shape=[logits_dimension] with mean of gradients for a first node.
meanHessians	A tensor with shape=[logits_dimension] mean of hessians for a first node.
l1	l1 regularization factor on leaf weights, per instance based.
l2	l2 regularization factor on leaf weights, per instance based.

Returns

• a new instance of BoostedTreesCenterBias