BoostedTreesPredict

public final class BoostedTreesPredict

Runs multiple additive regression ensemble predictors on input instances and

computes the logits. It is designed to be used during prediction. It traverses all the trees and calculates the final score for each instance.

Public Methods

Output<Float>
asOutput()
Returns the symbolic handle of a tensor.
static BoostedTreesPredict
create(Scope scope, Operand<?> treeEnsembleHandle, Iterable<Operand<Integer>> bucketizedFeatures, Long logitsDimension)
Factory method to create a class wrapping a new BoostedTreesPredict operation.
Output<Float>
logits()
Output rank 2 Tensor containing logits for each example.

Inherited Methods

Public Methods

public Output<Float> 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 static BoostedTreesPredict create (Scope scope, Operand<?> treeEnsembleHandle, Iterable<Operand<Integer>> bucketizedFeatures, Long logitsDimension)

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

Parameters
scope current scope
bucketizedFeatures A list of rank 1 Tensors containing bucket id for each feature.
logitsDimension scalar, dimension of the logits, to be used for partial logits shape.
Returns
  • a new instance of BoostedTreesPredict

public Output<Float> logits ()

Output rank 2 Tensor containing logits for each example.