# tf.raw_ops.BoostedTreesTrainingPredict

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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.BoostedTreesTrainingPredict`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/BoostedTreesTrainingPredict)

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    tf.raw_ops.BoostedTreesTrainingPredict(
        tree_ensemble_handle,
        cached_tree_ids,
        cached_node_ids,
        bucketized_features,
        logits_dimension,
        name=None
    )

computes the update to cached logits. It is designed to be used during training.
It traverses the trees starting from cached tree id and cached node id and
calculates the updates to be pushed to the cache.

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| ## Args ||
|---|---|
| `tree_ensemble_handle` | A `Tensor` of type `resource`. |
| `cached_tree_ids` | A `Tensor` of type `int32`. Rank 1 Tensor containing cached tree ids which is the starting tree of prediction. |
| `cached_node_ids` | A `Tensor` of type `int32`. Rank 1 Tensor containing cached node id which is the starting node of prediction. |
| `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 tuple of `Tensor` objects (partial_logits, tree_ids, node_ids). ||
| `partial_logits` | A `Tensor` of type `float32`. |
| `tree_ids` | A `Tensor` of type `int32`. |
| `node_ids` | A `Tensor` of type `int32`. |

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