| .. Licensed to the Apache Software Foundation (ASF) under one |
| or more contributor license agreements. See the NOTICE file |
| distributed with this work for additional information |
| regarding copyright ownership. The ASF licenses this file |
| to you under the Apache License, Version 2.0 (the |
| "License"); you may not use this file except in compliance |
| with the License. You may obtain a copy of the License at |
| |
| .. http://www.apache.org/licenses/LICENSE-2.0 |
| |
| .. Unless required by applicable law or agreed to in writing, |
| software distributed under the License is distributed on an |
| "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| KIND, either express or implied. See the License for the |
| specific language governing permissions and limitations |
| under the License. |
| |
| |
| .. _api.ml: |
| |
| ========================== |
| Machine Learning utilities |
| ========================== |
| .. currentmodule:: pyspark.pandas.mlflow |
| |
| MLflow |
| ------ |
| |
| 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 |
| :func:`load_model` for more information. |
| |
| .. note:: |
| The MLflow package must be installed in order to use this module. |
| |
| .. autosummary:: |
| :toctree: api/ |
| |
| PythonModelWrapper |
| load_model |
