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radon-defect-predictor

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0.2.7 radon_defect_predictor-0.2.7-py3-none-any.whl

Wheel Details

Project: radon-defect-predictor
Version: 0.2.7
Filename: radon_defect_predictor-0.2.7-py3-none-any.whl
Download: [link]
Size: 15141
MD5: 7aa534d7b147c2d602fe703ab57d266a
SHA256: 9ef9a0e3a098db215a2bdf328854bc1f56d2de77b277d070876d40e710fd1626
Uploaded: 2021-07-12 12:24:13 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: radon-defect-predictor
Version: 0.2.7
Summary: A Python library to train machine learning models for defect prediction of infrastructure code.
Author: Stefano Dalla Palma
Author-Email: stefano.dallapalma0[at]gmail.com
Maintainer: Stefano Dalla Palma
Home-Page: https://github.com/radon-h2020/radon-defect-predictor
Download-Url: https://github.com/radon-h2020/radon-defect-predictor/archive/0.2.7.tar.gz
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: ansiblemetrics (~=0.3.7)
Requires-Dist: imbalanced-learn (~=0.7.0)
Requires-Dist: joblib (~=0.17.0)
Requires-Dist: jsonpickle (~=1.4.1)
Requires-Dist: numpy (~=1.19.4)
Requires-Dist: pandas (~=1.1.4)
Requires-Dist: repository-scorer (~=0.2.1)
Requires-Dist: requests (~=2.24.0)
Requires-Dist: scikit-learn (~=0.24.1)
Requires-Dist: tosca-metrics (~=0.0.6)
Description-Content-Type: text/markdown
[Description omitted; length: 3332 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
radondp/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
radondp/balancers.py sha256=PHxXGjNADAlYmpugzrWzFjVeqSGvlMM8wiPoya-jNw8 296
radondp/classifiers.py sha256=vbvhLim9keXXg-s2aowhpAY4gj6mz8D_2-rznc_hsCA 394
radondp/cli.py sha256=G3zoQ6YmQhqOT9FGznjdBAErdal6q2NQZGdYorT5L6Q 10789
radondp/hyper_parameters.py sha256=ChIGspDMwxoUb01EzYO2S0MwImExg3vKjZOT2tpxPqk 1611
radondp/model_validation.py sha256=Vyq1tKBqFIajcGQpzApqCUtj5TT5AMPqYezmuvU97t8 1516
radondp/normalizers.py sha256=8wajsi3R8q0LNbYq0cejLbieqbp6XjtNjsPxYk_irVM 157
radondp/predictors.py sha256=CVbJRnt9gAFJqsfRzHrinTmR2yam9XA2eSysaq35ITo 8190
radon_defect_predictor-0.2.7.dist-info/LICENSE sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ 11357
radon_defect_predictor-0.2.7.dist-info/METADATA sha256=1dRebiFSIlgYqcTLRsIqtyG_g77T8kjaevWo-iLFHLU 4701
radon_defect_predictor-0.2.7.dist-info/WHEEL sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA 92
radon_defect_predictor-0.2.7.dist-info/entry_points.txt sha256=YmBl3qmZd1K648LvKRy5SoGnFOHk4eLU7KOxVQ3Vclk 61
radon_defect_predictor-0.2.7.dist-info/top_level.txt sha256=PbQFkt3Ds8sxM1YOAx8sdfArosDeHnb8q40hIKP-OuI 8
radon_defect_predictor-0.2.7.dist-info/RECORD — —

top_level.txt

radondp

entry_points.txt

[console_scripts]
radon-defect-predictor = radondp.cli:main