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Model analysis tools for TensorFlow

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I created this documentation based on this comment in the source code: https://github.com/tensorflow/model-analysis/blob/86be9ae6f27e0bc98d0dad493848e0f8b9c36e0e/tensorflow_model_analysis/frontend/lib/series-data.js#L33

cla: yes

`tensorflow.contrib.tensor_forest.client.random_forest.TensorForestEstimator` this happens to fall under the standard estimator category

cla: yes

The PR add scripts to run preprocess and tfdv for chicago taxi example using flink.

Changes in this PR: - Use pytest to run tests - Write a workflow to run the tests on the GitHub repository - Remove if `__name__ == "__main__"` section from...

### System information - **Have I written custom code (as opposed to using a stock example script provided in TensorFlow Model Analysis)**: No - **OS Platform and Distribution (e.g., Linux...

type:support

This PR creates a workflow that: 1. Ensures that new PRs do not break wheel builds 2. Creates and uploads wheels/sdist to PYPI when a new release is made

# Details - There seems no npm package for tensorflow_model_analysis==0.47.1([link](https://www.npmjs.com/package/tensorflow_model_analysis?activeTab=versions)) - Currently we make HTML file of evaluation result with `ipywidgets` package(see below code) - If we run below code...

### System information - **Have I written custom code (as opposed to using a stock example script provided in TensorFlow Model Analysis)**: No - **OS Platform and Distribution (e.g., Linux...

bug
type:bug
stat:awaiting tensorflower

Changes in this PR: - Add `.gitignore` file - Add unit test GitHub workflow - Add `unittest` `skip`s or `expectedFailure`s to tests with errors and failures, respectively You can get...

Please go to Stack Overflow for help and support: ### System information - **Have I written custom code (as opposed to using a stock example script provided in TensorFlow Model...

bug