tf.raw_ops.BoostedTreesPredict
Runs multiple additive regression ensemble predictors on input instances and
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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/BoostedTreesPredict