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| <div class="section" id="machine-learning-utilities"> |
| <span id="api-ml"></span><h1>Machine Learning utilities<a class="headerlink" href="#machine-learning-utilities" title="Permalink to this headline">¶</a></h1> |
| <div class="section" id="mlflow"> |
| <h2>MLflow<a class="headerlink" href="#mlflow" title="Permalink to this headline">¶</a></h2> |
| <p>Arbitrary MLflow models can be used with pandas-on-Spark Dataframes, |
| provided they implement the ‘pyfunc’ flavor. This is the case |
| for most frameworks supported by MLflow (scikit-learn, pytorch, |
| tensorflow, …). See comprehensive examples in |
| <a class="reference internal" href="api/pyspark.pandas.mlflow.load_model.html#pyspark.pandas.mlflow.load_model" title="pyspark.pandas.mlflow.load_model"><code class="xref py py-func docutils literal notranslate"><span class="pre">load_model()</span></code></a> for more information.</p> |
| <div class="admonition note"> |
| <p class="admonition-title">Note</p> |
| <p>The MLflow package must be installed in order to use this module.</p> |
| </div> |
| <table class="longtable table autosummary"> |
| <colgroup> |
| <col style="width: 10%" /> |
| <col style="width: 90%" /> |
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| <tbody> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.pandas.mlflow.PythonModelWrapper.html#pyspark.pandas.mlflow.PythonModelWrapper" title="pyspark.pandas.mlflow.PythonModelWrapper"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PythonModelWrapper</span></code></a>(model_uri, return_type_hint)</p></td> |
| <td><p>A wrapper around MLflow’s Python object model.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.pandas.mlflow.load_model.html#pyspark.pandas.mlflow.load_model" title="pyspark.pandas.mlflow.load_model"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_model</span></code></a>(model_uri[, predict_type])</p></td> |
| <td><p>Loads an MLflow model into a wrapper that can be used both for pandas and pandas-on-Spark DataFrame.</p></td> |
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