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.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<TFloat32> |
asOutput()
Returns the symbolic handle of the tensor.
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static BoostedTreesPredict | |
Output<TFloat32> |
logits()
Output rank 2 Tensor containing logits for each example.
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<TFloat32> asOutput ()
Returns the symbolic handle of the 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<TInt32>> bucketizedFeatures, Long logitsDimension)
Factory method to create a class wrapping a new BoostedTreesPredict operation.
Parameters
scope | current scope |
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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