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 | |
| 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