<section id="snowflake-ml-registry-model-registry-modelreference">
<h1>snowflake.ml.registry.model_registry.ModelReference<a class="headerlink" href="#snowflake-ml-registry-model-registry-modelreference" title="Permalink to this heading">¶</a></h1>
<dl class="py class">
<dt class="sig sig-object py" id="snowflake.ml.registry.model_registry.ModelReference">
class snowflake.ml.registry.model_registry.ModelReference(*, registry: <a class="reference internal" href="snowflake.ml.registry.model_registry.ModelRegistry.html#snowflake.ml.registry.model_registry.ModelRegistry" title="snowflake.ml.registry.model_registry.ModelRegistry">ModelRegistry</a>, model_name: str, model_version: str)<a class="headerlink" href="#snowflake.ml.registry.model_registry.ModelReference" title="Permalink to this definition">¶</a></dt>
<dd>Bases: <code class="xref py py-class docutils literal notranslate">object</code>
Wrapper class for ModelReference objects that proxy model metadata operations.
Methods
<table class="autosummary longtable docutils align-default">
<tbody>
<tr class="row-odd"><td><code class="xref py py-obj docutils literal notranslate">get_name</code>()</td>
<td></td>
</tr>
<tr class="row-even"><td><code class="xref py py-obj docutils literal notranslate">get_version</code>()</td>
<td></td>
</tr>
<tr class="row-odd"><td><code class="xref py py-obj docutils literal notranslate">predict</code>(deployment_name,&nbsp;data)</td>
<td>Predict using the deployed model in Snowflake.</td>
</tr>
</tbody>
</table>
</dd></dl>

</section>

`get_name`()
`get_version`()
`predict`(deployment_name, data)	Predict using the deployed model in Snowflake.

snowflake.ml.registry.model_registry.ModelReference¶