# tf.raw_ops.BoostedTreesMakeStatsSummary

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Makes the summary of accumulated stats for the batch.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.BoostedTreesMakeStatsSummary(
        node_ids,
        gradients,
        hessians,
        bucketized_features_list,
        max_splits,
        num_buckets,
        name=None
    )

The summary stats contains gradients and hessians accumulated into the corresponding node and bucket for each example.

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| ## Args ||
|---|---|
| `node_ids` | A `Tensor` of type `int32`. int32 Rank 1 Tensor containing node ids, which each example falls into for the requested layer. |
| `gradients` | A `Tensor` of type `float32`. float32; Rank 2 Tensor (shape=\[#examples, 1\]) for gradients. |
| `hessians` | A `Tensor` of type `float32`. float32; Rank 2 Tensor (shape=\[#examples, 1\]) for hessians. |
| `bucketized_features_list` | A list of at least 1 `Tensor` objects with type `int32`. int32 list of Rank 1 Tensors, each containing the bucketized feature (for each feature column). |
| `max_splits` | An `int` that is `>= 1`. int; the maximum number of splits possible in the whole tree. |
| `num_buckets` | An `int` that is `>= 1`. int; equals to the maximum possible value of bucketized feature. |
| `name` | A name for the operation (optional). |

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

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