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# Contrib Optimization API

```eval_rst
    .. currentmodule:: mxnet.optimizer.contrib
```

## Overview

This document summaries the contrib APIs used to initialize and update the model
weights during training

```eval_rst
.. autosummary::
    :nosignatures:

    mxnet.optimizer.contrib
```

The `Contrib Optimization` API, defined in the `optimizer.contrib` package, provides
many useful experimental APIs for new features.
This is a place for the community to try out the new features,
so that feature contributors can receive feedback.

```eval_rst
.. warning:: This package contains experimental APIs and may change in the near future.
```

In the rest of this document, we list routines provided by the `optimizer.contrib` package.

## Contrib

```eval_rst
.. currentmodule:: mxnet.optimizer.contrib

.. autosummary::
    :nosignatures:

     GroupAdaGrad
```

## API Reference

<script type="text/javascript" src='../../../_static/js/auto_module_index.js'></script>

```eval_rst

.. automodule:: mxnet.optimizer.contrib
    :members:

```

<script>auto_index("api-reference");</script>