# tf.raw_ops.BoostedTreesMakeQuantileSummaries

<br />

Makes the summary of quantiles 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.BoostedTreesMakeQuantileSummaries`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/BoostedTreesMakeQuantileSummaries)

<br />

    tf.raw_ops.BoostedTreesMakeQuantileSummaries(
        float_values, example_weights, epsilon, name=None
    )

An op that takes a list of tensors (one tensor per feature) and outputs the
quantile summaries for each tensor.

<br />

<br />

<br />

| ## Args ||
|---|---|
| `float_values` | A list of `Tensor` objects with type `float32`. float; List of Rank 1 Tensors each containing values for a single feature. |
| `example_weights` | A `Tensor` of type `float32`. float; Rank 1 Tensor with weights per instance. |
| `epsilon` | A `Tensor` of type `float32`. float; The required maximum approximation error. |
| `name` | A name for the operation (optional). |

<br />

<br />

<br />

<br />

| ## Returns ||
|---|---|
| A list with the same length as `float_values` of `Tensor` objects with type `float32`. ||

<br />