tf.raw_ops.BoostedTreesPredict

Runs multiple additive regression ensemble predictors on input instances and

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Compat aliases for migration

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tf.compat.v1.raw_ops.BoostedTreesPredict

tf.raw_ops.BoostedTreesPredict(
    tree_ensemble_handle, bucketized_features, logits_dimension, name=None
)

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

Args
tree_ensemble_handle	A Tensor of type resource.
bucketized_features	A list of at least 1 Tensor objects with type int32. A list of rank 1 Tensors containing bucket id for each feature.
logits_dimension	An int. scalar, dimension of the logits, to be used for partial logits shape.
name	A name for the operation (optional).

Returns
A Tensor of type float32.