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0.0.81 uncertainty_metrics-0.0.81-py2.py3-none-any.whl

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Project: uncertainty-metrics
Version: 0.0.81
Filename: uncertainty_metrics-0.0.81-py2.py3-none-any.whl
Download: [link]
Size: 53786
MD5: 0c7ded3b53b1371fb6ae97e4eca28535
SHA256: 8ac6b82ca65e881d5cb38a698426951f2d96457ee8fa4af1217bfd20e41ed038
Uploaded: 2020-08-14 15:53:45 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.0
Name: uncertainty-metrics
Version: 0.0.81
Summary: Uncertainty Metrics
Author: Uncertainty Metrics Team
Author-Email: jeremynixon[at]google.com
Home-Page: http://github.com/google/uncertainty_metrics
License: Apache 2.0
Keywords: probabilistic programming tensorflow machine learning
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: numpy (>=1.7)
Requires-Dist: matplotlib (>=2.0.0); extra == "numpy"
Requires-Dist: scipy (>=1.0.0); extra == "numpy"
Requires-Dist: scikit-learn (>=0.20.0); extra == "numpy"
Requires-Dist: tensorflow (>=2.0.0); extra == "tensorflow"
Requires-Dist: tensorflow-probability (>=0.9); extra == "tensorflow"
Requires-Dist: absl-py (>=0.5.0); extra == "tests"
Requires-Dist: pylint (>=1.9.0); extra == "tests"
Requires-Dist: tf-nightly; extra == "tf-nightly"
Requires-Dist: matplotlib (>=2.0.0); extra == "tf-nightly"
Requires-Dist: scipy (>=1.0.0); extra == "tf-nightly"
Requires-Dist: scikit-learn (>=0.20.0tensorflow>=2.0.0); extra == "tf-nightly"
Requires-Dist: tensorflow-probability (>=0.9); extra == "tf-nightly"
Provides-Extra: tf-nightly
Provides-Extra: tensorflow
Provides-Extra: tests
Provides-Extra: numpy
Provides-Extra: numpy
Provides-Extra: tensorflow
Provides-Extra: tests
Provides-Extra: tf-nightly
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.30.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

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uncertainty_metrics/tensorflow/information_criteria.py sha256=6KQJ-x8D4Y5wowTbatRqthVRxnWckiVpP9jBkJzwG8U 7660
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uncertainty_metrics/tensorflow/scoring_rules.py sha256=W7fzkvtLnklvCVceIIPPHLh13MLm0NIbbbhH5OOBE6Q 12868
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uncertainty_metrics-0.0.81.dist-info/RECORD — —
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top_level.txt

uncertainty_metrics