Wheelodex » Projects » scikit-plot

scikit-plot

View on PyPI — Reverse Dependencies (35)

0.3.7 scikit_plot-0.3.7-py3-none-any.whl

Wheel Details

Project: scikit-plot
Version: 0.3.7
Filename: scikit_plot-0.3.7-py3-none-any.whl
Download: [link]
Size: 33679
MD5: 2e97f0b5e8fb7351555badc0ee83740d
SHA256: 6b3d529800b32a899c54dc5761a93c63cbff482b1889a4afee57dd219f3ef0c3
Uploaded: 2018-08-19 12:18:46 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: scikit-plot
Version: 0.3.7
Summary: An intuitive library to add plotting functionality to scikit-learn objects.
Author: Reiichiro Nakano
Author-Email: reiichiro.s.nakano[at]gmail.com
Home-Page: https://github.com/reiinakano/scikit-plot
License: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Natural Language :: English
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Visualization
Platform: any
Requires-Dist: matplotlib (>=1.4.0)
Requires-Dist: scikit-learn (>=0.18)
Requires-Dist: scipy (>=0.9)
Requires-Dist: joblib (>=0.10)
Requires-Dist: pytest; extra == "testing"
Provides-Extra: testing
Provides-Extra: testing
[Description omitted; length: 6032 characters; fails to render]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.31.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
scikit_plot-0.3.7.dist-info/METADATA sha256=i4M_5EpEk_XfKPouWwuHPfWRUBshgU5wK2fLVqG97xc 7138
scikit_plot-0.3.7.dist-info/RECORD — —
scikit_plot-0.3.7.dist-info/WHEEL sha256=FRuHuBX28RTgsOL603qIpbSc2WeDgbsFBWKj9XFOCpg 92
scikit_plot-0.3.7.dist-info/top_level.txt sha256=400vmLM4ZuSB8eJHopJP3tZyb4zQZphHO68vPn2RePM 11
scikitplot/__init__.py sha256=IZCOMTuW1A7T_IXWRMjId_aNjf_i7Vm8yV6ap72k83Y 272
scikitplot/classifiers.py sha256=Mhz9ZjcxFHfRHY0u5Aa7JN3qrBXzYKjnTuawPrkF7v0 25058
scikitplot/cluster.py sha256=VloI4BDECCAeNUXPa3UPGifQJIoK25uKKjcP9iga8bw 4865
scikitplot/clustering.py sha256=JGxLelP4G453YCak5Hj3GJ_akodUNrg4GpIpwS696YM 1735
scikitplot/decomposition.py sha256=WmdJUD6PrS0sE_Tm_mxCeU-B7wdeJ-poDPKNoT9jxDI 8079
scikitplot/estimators.py sha256=CZbzdbTzA-NVgY0XAoS8AsVKjAJiOQ_dasmDe7MQUgg 9921
scikitplot/helpers.py sha256=vvSq9rA1S4rniaA8bzlFtUccMbEki6-20Dq_KuYXyiU 7732
scikitplot/metrics.py sha256=nurHhhmGxBvX9_yUVesQP9BglyxYWH5A6cPOpXcDi3o 47327
scikitplot/plotters.py sha256=AnNOEKXn3vwP6XkJv1YPwqXW4JO2sEFbr9nza0bqJco 44073

top_level.txt

scikitplot