tensorflow_model_analysis-0.12.0.tar.gz

<!-- See: www.tensorflow.org/tfx/model_analysis/ --> # TensorFlow Model Analysis [](https://github.com/tensorflow/model-analysis) [](https://badge.fury.io/py/tensorflow-model-analysis) [](https://www.tensorflow.org/tfx/model_analysis/api_docs/python/tfma) *TensorFlow Model Analysis* (TFMA) is a library for evaluating TensorFlow models. It allows users to evaluate their models on large amounts of data in a distributed manner, using the same metrics defined in their trainer. These metrics can be computed over different slices of data and visualized in Jupyter notebooks.  Caution: TFMA may introduce backwards incompatible changes before version 1.0. ## Installation The recommended way to install TFMA is using the [PyPI package](https://pypi.org/project/tensorflow-model-analysis/): <pre class="devsite-terminal devsite-click-to-copy"> pip install tensorflow-model-analysis </pre> Currently, TFMA requires that TensorFlow is installed but does not have an explicit dependency on the TensorFlow PyPI package. See the [TensorFlow install guides](https://www.tensorflow.org/install/) for instructions. To enable TFMA visualization in Jupyter Notebook: <pre class="prettyprint"> <code class="devsite-terminal">jupyter nbextension enable --py widgetsnbextension</code> <code class="devsite-terminal">jupyter nbextension install --py --symlink tensorflow_model_analysis</code> <code class="devsite-terminal">jupyter nbextension enable --py tensorflow_model_analysis</code> </pre> Note: If Jupyter notebook is already installed in your home directory, add `--user` to these commands. If Jupyter is installed as root, or using a virtual environment, the parameter `--sys-prefix` might be required. ### Dependencies [Apache Beam](https://beam.apache.org/) is required to run distributed analysis. By default, Apache Beam runs in local mode but can also run in distributed mode using [Google Cloud Dataflow](https://cloud.google.com/dataflow/). TFMA is designed to be extensible for other Apache Beam runners. ## Getting Started For instructions on using TFMA, see the [get started guide](https://github.com/tensorflow/model-analysis/blob/master/g3doc/get_started.md) and try out the extensive [end-to-end example](https://github.com/tensorflow/tfx/blob/master/examples/chicago_taxi/README.md). ## Compatible Versions The following table is the TFMA package versions that are compatible with each other. This is determined by our testing framework, but other *untested* combinations may also work. |tensorflow-model-analysis |tensorflow |apache-beam[gcp]| |---------------------------|--------------------|----------------| |GitHub master |1.12 |2.10.0 | |0.12.0 |1.12 |2.10.0 | |0.11.0 |1.11 |2.8.0 | |0.9.2 |1.9 |2.6.0 | |0.9.1 |1.10 |2.6.0 | |0.9.0 |1.9 |2.5.0 | |0.6.0 |1.6 |2.4.0 | ## Questions Please direct any questions about working with TFMA to [Stack Overflow](https://stackoverflow.com) using the [tensorflow-model-analysis](https://stackoverflow.com/questions/tagged/tensorflow-model-analysis) tag.