Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

BoostedTreesUpdateEnsemble

public final class BoostedTreesUpdateEnsemble

Updates the tree ensemble by either adding a layer to the last tree being grown

or by starting a new tree.

Public Methods

static BoostedTreesUpdateEnsemble

create(Scope scope, Operand<?> treeEnsembleHandle, Operand<Integer> featureIds, Iterable<Operand<Integer>> nodeIds, Iterable<Operand<Float>> gains, Iterable<Operand<Integer>> thresholds, Iterable<Operand<Float>> leftNodeContribs, Iterable<Operand<Float>> rightNodeContribs, Operand<Integer> maxDepth, Operand<Float> learningRate, Long pruningMode)

Factory method to create a class wrapping a new BoostedTreesUpdateEnsemble 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()

Public Methods

public static BoostedTreesUpdateEnsemble create (Scope scope, Operand<?> treeEnsembleHandle, Operand<Integer> featureIds, Iterable<Operand<Integer>> nodeIds, Iterable<Operand<Float>> gains, Iterable<Operand<Integer>> thresholds, Iterable<Operand<Float>> leftNodeContribs, Iterable<Operand<Float>> rightNodeContribs, Operand<Integer> maxDepth, Operand<Float> learningRate, Long pruningMode)

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

Parameters

scope	current scope
treeEnsembleHandle	Handle to the ensemble variable.
featureIds	Rank 1 tensor with ids for each feature. This is the real id of the feature that will be used in the split.
nodeIds	List of rank 1 tensors representing the nodes for which this feature has a split.
gains	List of rank 1 tensors representing the gains for each of the feature's split.
thresholds	List of rank 1 tensors representing the thesholds for each of the feature's split.
leftNodeContribs	List of rank 2 tensors with left leaf contribs for each of the feature's splits. Will be added to the previous node values to constitute the values of the left nodes.
rightNodeContribs	List of rank 2 tensors with right leaf contribs for each of the feature's splits. Will be added to the previous node values to constitute the values of the right nodes.
maxDepth	Max depth of the tree to build.
learningRate	shrinkage const for each new tree.
pruningMode	0-No pruning, 1-Pre-pruning, 2-Post-pruning.

Returns

a new instance of BoostedTreesUpdateEnsemble