tf.raw_ops.BoostedTreesPredict | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.BoostedTreesPredict
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Runs multiple additive regression ensemble predictors on input instances and
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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. |
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Last updated 2024-04-26 UTC.