forked from 626_privacy/tensorflow_privacy
39 lines
1.4 KiB
Text
39 lines
1.4 KiB
Text
# Requirements for Tensorflow Privacy.
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#
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# If you add a dependency here, also add the dependency to setup.py.
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#
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# * For packages that have a stable release, we use a version that is
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# compatible with that release (e.g. `~=x.y`). See
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# https://peps.python.org/pep-0440/#compatible-release for more information.
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# * For packages that do not have a stable release, we use a version that
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# matches a release that has been tested (e.g. `==x.y.z`). See
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# https://peps.python.org/pep-0440/#version-matching for more information.
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#
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# This assumes that the packages follows Semantic Versioning, see
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# https://semver.org/. If a package follows a different versioning scheme or
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# requires unique handling, we use a different version specifier and comment the
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# versioning scheme or reasoning.
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#
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# Note: As of 2022-08-17 there is bug in `pip` when multiple packages use the
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# compatible release operator `~=` to specify a version and one of those
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# versions ends in `0`. See https://github.com/pypa/pip/issues/9613 for more
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# information. In this case, use the equivalent clause `>=x.0,==x.*` instead of
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# `~=x.0`.
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absl-py>=1.0,==1.*
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attrs~=21.4
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dm-tree==0.1.7
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dp-accounting==0.3.0
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immutabledict~=2.2
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matplotlib~=3.3
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mpmath~=1.2
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numpy~=1.21
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packaging~=22.0
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pandas~=1.4
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scikit-learn>=1.0,==1.*
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scipy~=1.7
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statsmodels~=0.13
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tensorflow-datasets~=4.5
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tensorflow-estimator~=2.4
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tensorflow-probability==0.15.0
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tensorflow~=2.4
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