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        "author": "Google LLC",
        "author_email": "tensorflow-extended-dev@googlegroups.com",
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        "description": "<!-- See: www.tensorflow.org/tfx/data_validation/ -->\n\n# TensorFlow Data Validation\n\n[![Python](https://img.shields.io/pypi/pyversions/tensorflow-data-validation.svg?style=plastic)](https://github.com/tensorflow/data-validation)\n[![PyPI](https://badge.fury.io/py/tensorflow-data-validation.svg)](https://badge.fury.io/py/tensorflow-data-validation)\n[![Documentation](https://img.shields.io/badge/api-reference-blue.svg)](https://www.tensorflow.org/tfx/data_validation/api_docs/python/tfdv)\n\n*TensorFlow Data Validation* (TFDV) is a library for exploring and validating\nmachine learning data. It is designed to be highly scalable\nand to work well with TensorFlow and [TensorFlow Extended (TFX)](https://www.tensorflow.org/tfx).\n\nTF Data Validation includes:\n\n*    Scalable calculation of summary statistics of training and test data.\n*    Integration with a viewer for data distributions and statistics, as well\n     as faceted comparison of pairs of features ([Facets](https://github.com/PAIR-code/facets))\n*    Automated [data-schema](https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/schema.proto)\n     generation to describe expectations about data\n     like required values, ranges, and vocabularies\n*    A schema viewer to help you inspect the schema.\n*    Anomaly detection to identify [anomalies](https://github.com/tensorflow/data-validation/blob/master/g3doc/anomalies.md),\n     such as missing features,\n     out-of-range values, or wrong feature types, to name a few.\n*    An anomalies viewer so that you can see what features have anomalies and\n     learn more in order to correct them.\n\nFor instructions on using TFDV, see the [get started guide](https://github.com/tensorflow/data-validation/blob/master/g3doc/get_started.md)\nand try out the [example notebook](https://colab.research.google.com/github/tensorflow/tfx/blob/master/docs/tutorials/data_validation/tfdv_basic.ipynb).\nSome of the techniques implemented in TFDV are described in a\n[technical paper published in SysML'19](https://mlsys.org/Conferences/2019/doc/2019/167.pdf).\n\n## Installing from PyPI\n\nThe recommended way to install TFDV is using the\n[PyPI package](https://pypi.org/project/tensorflow-data-validation/):\n\n```bash\npip install tensorflow-data-validation\n```\n### Nightly Packages\n\nTFDV also hosts nightly packages at https://pypi-nightly.tensorflow.org on\nGoogle Cloud. To install the latest nightly package, please use the following\ncommand:\n\n```bash\npip install --extra-index-url https://pypi-nightly.tensorflow.org/simple tensorflow-data-validation\n```\n\nThis will install the nightly packages for the major dependencies of TFDV such\nas TFX Basic Shared Libraries (TFX-BSL) and TensorFlow Metadata (TFMD).\n\n## Build with Docker\n\nThis is the recommended way to build TFDV under Linux, and is continuously\ntested at Google.\n\n### 1. Install Docker\n\nPlease first install `docker` and `docker-compose` by following the directions:\n[docker](https://docs.docker.com/install/);\n[docker-compose](https://docs.docker.com/compose/install/).\n\n### 2. Clone the TFDV repository\n\n```shell\ngit clone https://github.com/tensorflow/data-validation\ncd data-validation\n```\n\nNote that these instructions will install the latest master branch of TensorFlow\nData Validation. If you want to install a specific branch (such as a release\nbranch), pass `-b <branchname>` to the `git clone` command.\n\n### 3. Build the pip package\n\nThen, run the following at the project root:\n\n```bash\nsudo docker-compose build manylinux2010\nsudo docker-compose run -e PYTHON_VERSION=${PYTHON_VERSION} manylinux2010\n```\nwhere `PYTHON_VERSION` is one of `{37, 38, 39}`.\n\nA wheel will be produced under `dist/`.\n\n### 4. Install the pip package\n\n```shell\npip install dist/*.whl\n```\n\n## Build from source\n\n### 1. Prerequisites\n\nTo compile and use TFDV, you need to set up some prerequisites.\n\n#### Install NumPy\n\nIf NumPy is not installed on your system, install it now by following [these\ndirections](https://www.scipy.org/scipylib/download.html).\n\n#### Install Bazel\n\nIf Bazel is not installed on your system, install it now by following [these\ndirections](https://bazel.build/versions/master/docs/install.html).\n\n### 2. Clone the TFDV repository\n\n```shell\ngit clone https://github.com/tensorflow/data-validation\ncd data-validation\n```\n\nNote that these instructions will install the latest master branch of TensorFlow\nData Validation. If you want to install a specific branch (such as a release\nbranch), pass `-b <branchname>` to the `git clone` command.\n\n### 3. Build the pip package\n\n`TFDV` wheel is Python version dependent -- to build the pip package that\nworks for a specific Python version, use that Python binary to run:\n\n```shell\npython setup.py bdist_wheel\n```\n\nYou can find the generated `.whl` file in the `dist` subdirectory.\n\n### 4. Install the pip package\n\n```shell\npip install dist/*.whl\n```\n\n## Supported platforms\n\nTFDV is tested on the following 64-bit operating systems:\n\n  * macOS 10.14.6 (Mojave) or later.\n  * Ubuntu 16.04 or later.\n  * Windows 7 or later.\n\n## Notable Dependencies\n\nTensorFlow is required.\n\n[Apache Beam](https://beam.apache.org/) is required; it's the way that efficient\ndistributed computation is supported. By default, Apache Beam runs in local\nmode but can also run in distributed mode using\n[Google Cloud Dataflow](https://cloud.google.com/dataflow/) and other Apache\nBeam\n[runners](https://beam.apache.org/documentation/runners/capability-matrix/).\n\n[Apache Arrow](https://arrow.apache.org/) is also required. TFDV uses Arrow to\nrepresent data internally in order to make use of vectorized numpy functions.\n\n## Compatible versions\n\nThe following table shows the  package versions that are\ncompatible with each other. This is determined by our testing framework, but\nother *untested* combinations may also work.\n\ntensorflow-data-validation                                                            | apache-beam[gcp] | pyarrow | tensorflow        | tensorflow-metadata | tensorflow-transform | tfx-bsl\n------------------------------------------------------------------------------------- | ---------------- | ------- | ----------------- | ------------------- | -------------------- | -------\n[GitHub master](https://github.com/tensorflow/data-validation/blob/master/RELEASE.md) | 2.38.0           | 5.0.0   | nightly (1.x/2.x) | 1.8.0               | n/a                  | 1.8.0\n[1.8.0](https://github.com/tensorflow/data-validation/blob/v1.8.0/RELEASE.md)         | 2.38.0           | 5.0.0   | 1.15 / 2.8        | 1.8.0               | n/a                  | 1.8.0\n[1.7.0](https://github.com/tensorflow/data-validation/blob/v1.7.0/RELEASE.md)         | 2.36.0           | 5.0.0   | 1.15 / 2.8        | 1.7.0               | n/a                  | 1.7.0\n[1.6.0](https://github.com/tensorflow/data-validation/blob/v1.6.0/RELEASE.md)         | 2.35.0           | 5.0.0   | 1.15 / 2.7        | 1.6.0               | n/a                  | 1.6.0\n[1.5.0](https://github.com/tensorflow/data-validation/blob/v1.5.0/RELEASE.md)         | 2.34.0           | 5.0.0   | 1.15 / 2.7        | 1.5.0               | n/a                  | 1.5.0\n[1.4.0](https://github.com/tensorflow/data-validation/blob/v1.4.0/RELEASE.md)         | 2.32.0           | 4.0.1   | 1.15 / 2.6        | 1.4.0               | n/a                  | 1.4.0\n[1.3.0](https://github.com/tensorflow/data-validation/blob/v1.3.0/RELEASE.md)         | 2.32.0           | 2.0.0   | 1.15 / 2.6        | 1.2.0               | n/a                  | 1.3.0\n[1.2.0](https://github.com/tensorflow/data-validation/blob/v1.2.0/RELEASE.md)         | 2.31.0           | 2.0.0   | 1.15 / 2.5        | 1.2.0               | n/a                  | 1.2.0\n[1.1.1](https://github.com/tensorflow/data-validation/blob/v1.1.1/RELEASE.md)         | 2.29.0           | 2.0.0   | 1.15 / 2.5        | 1.1.0               | n/a                  | 1.1.1\n[1.1.0](https://github.com/tensorflow/data-validation/blob/v1.1.0/RELEASE.md)         | 2.29.0           | 2.0.0   | 1.15 / 2.5        | 1.1.0               | n/a                  | 1.1.0\n[1.0.0](https://github.com/tensorflow/data-validation/blob/v1.0.0/RELEASE.md)         | 2.29.0           | 2.0.0   | 1.15 / 2.5        | 1.0.0               | n/a                  | 1.0.0\n[0.30.0](https://github.com/tensorflow/data-validation/blob/v0.30.0/RELEASE.md)       | 2.28.0           | 2.0.0   | 1.15 / 2.4        | 0.30.0              | n/a                  | 0.30.0\n[0.29.0](https://github.com/tensorflow/data-validation/blob/v0.29.0/RELEASE.md)       | 2.28.0           | 2.0.0   | 1.15 / 2.4        | 0.29.0              | n/a                  | 0.29.0\n[0.28.0](https://github.com/tensorflow/data-validation/blob/v0.28.0/RELEASE.md)       | 2.28.0           | 2.0.0   | 1.15 / 2.4        | 0.28.0              | n/a                  | 0.28.1\n[0.27.0](https://github.com/tensorflow/data-validation/blob/v0.27.0/RELEASE.md)       | 2.27.0           | 2.0.0   | 1.15 / 2.4        | 0.27.0              | n/a                  | 0.27.0\n[0.26.1](https://github.com/tensorflow/data-validation/blob/v0.26.1/RELEASE.md)       | 2.28.0           | 0.17.0  | 1.15 / 2.3        | 0.26.0              | 0.26.0               | 0.26.0\n[0.26.0](https://github.com/tensorflow/data-validation/blob/v0.26.0/RELEASE.md)       | 2.25.0           | 0.17.0  | 1.15 / 2.3        | 0.26.0              | 0.26.0               | 0.26.0\n[0.25.0](https://github.com/tensorflow/data-validation/blob/v0.25.0/RELEASE.md)       | 2.25.0           | 0.17.0  | 1.15 / 2.3        | 0.25.0              | 0.25.0               | 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0.22.1\n[0.22.1](https://github.com/tensorflow/data-validation/blob/v0.22.1/RELEASE.md)       | 2.20.0           | 0.16.0  | 1.15 / 2.2        | 0.22.0              | 0.22.0               | 0.22.1\n[0.22.0](https://github.com/tensorflow/data-validation/blob/v0.22.0/RELEASE.md)       | 2.20.0           | 0.16.0  | 1.15 / 2.2        | 0.22.0              | 0.22.0               | 0.22.0\n[0.21.5](https://github.com/tensorflow/data-validation/blob/v0.21.5/RELEASE.md)       | 2.17.0           | 0.15.0  | 1.15 / 2.1        | 0.21.0              | 0.21.1               | 0.21.3\n[0.21.4](https://github.com/tensorflow/data-validation/blob/v0.21.4/RELEASE.md)       | 2.17.0           | 0.15.0  | 1.15 / 2.1        | 0.21.0              | 0.21.1               | 0.21.3\n[0.21.2](https://github.com/tensorflow/data-validation/blob/v0.21.2/RELEASE.md)       | 2.17.0           | 0.15.0  | 1.15 / 2.1        | 0.21.0              | 0.21.0               | 0.21.0\n[0.21.1](https://github.com/tensorflow/data-validation/blob/v0.21.1/RELEASE.md)       | 2.17.0           | 0.15.0  | 1.15 / 2.1        | 0.21.0              | 0.21.0               | 0.21.0\n[0.21.0](https://github.com/tensorflow/data-validation/blob/v0.21.0/RELEASE.md)       | 2.17.0           | 0.15.0  | 1.15 / 2.1        | 0.21.0              | 0.21.0               | 0.21.0\n[0.15.0](https://github.com/tensorflow/data-validation/blob/v0.15.0/RELEASE.md)       | 2.16.0           | 0.14.0  | 1.15 / 2.0        | 0.15.0              | 0.15.0               | 0.15.0\n[0.14.1](https://github.com/tensorflow/data-validation/blob/v0.14.1/RELEASE.md)       | 2.14.0           | 0.14.0  | 1.14              | 0.14.0              | 0.14.0               | n/a\n[0.14.0](https://github.com/tensorflow/data-validation/blob/v0.14.0/RELEASE.md)       | 2.14.0           | 0.14.0  | 1.14              | 0.14.0              | 0.14.0               | n/a\n[0.13.1](https://github.com/tensorflow/data-validation/blob/v0.13.1/RELEASE.md)       | 2.11.0           | n/a     | 1.13              | 0.12.1              | 0.13.0               | n/a\n[0.13.0](https://github.com/tensorflow/data-validation/blob/v0.13.0/RELEASE.md)       | 2.11.0           | n/a     | 1.13              | 0.12.1              | 0.13.0               | n/a\n[0.12.0](https://github.com/tensorflow/data-validation/blob/v0.12.0/RELEASE.md)       | 2.10.0           | n/a     | 1.12              | 0.12.1              | 0.12.0               | n/a\n[0.11.0](https://github.com/tensorflow/data-validation/blob/v0.11.0/RELEASE.md)       | 2.8.0            | n/a     | 1.11              | 0.9.0               | 0.11.0               | n/a\n[0.9.0](https://github.com/tensorflow/data-validation/blob/v0.9.0/RELEASE.md)         | 2.6.0            | n/a     | 1.9               | n/a                 | n/a                  | n/a\n\n## Questions\n\nPlease direct any questions about working with TF Data Validation to\n[Stack Overflow](https://stackoverflow.com) using the\n[tensorflow-data-validation](https://stackoverflow.com/questions/tagged/tensorflow-data-validation)\ntag.\n\n## Links\n\n  * [TensorFlow Data Validation Getting Started Guide](https://www.tensorflow.org/tfx/data_validation/get_started)\n  * [TensorFlow Data Validation Notebook](https://colab.research.google.com/github/tensorflow/tfx/blob/master/docs/tutorials/data_validation/tfdv_basic.ipynb)\n  * [TensorFlow Data Validation API Documentation](https://www.tensorflow.org/tfx/data_validation/api_docs/python/tfdv)\n  * [TensorFlow Data Validation Blog Post](https://medium.com/tensorflow/introducing-tensorflow-data-validation-data-understanding-validation-and-monitoring-at-scale-d38e3952c2f0)\n  * [TensorFlow Data Validation PyPI](https://pypi.org/project/tensorflow-data-validation/)\n  * [TensorFlow Data Validation Paper](https://mlsys.org/Conferences/2019/doc/2019/167.pdf)\n  * [TensorFlow Data Validation Slides](https://conf.slac.stanford.edu/xldb2018/sites/xldb2018.conf.slac.stanford.edu/files/Tues_09.45_NeoklisPolyzotis_Data%20Analysis%20and%20Validation%20(1).pdf)\n\n\n\n",
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