# tf.raw_ops.BoostedTreesPredict

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Runs multiple additive regression ensemble predictors on input instances and

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.BoostedTreesPredict`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/BoostedTreesPredict)

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    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.

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| ## 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). |

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| ## Returns ||
|---|---|
| A `Tensor` of type `float32`. ||

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