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ddplt

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0.0.2 ddplt-0.0.2-py3-none-any.whl

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Project: ddplt
Version: 0.0.2
Filename: ddplt-0.0.2-py3-none-any.whl
Download: [link]
Size: 21317
MD5: aac1965c90dec89581e6f42770c714ae
SHA256: 59e027a74fcac2e22ea98a5f3711f6f9dfdde17959e3231986eabc84aea868fe
Uploaded: 2020-10-12 07:54:32 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: ddplt
Version: 0.0.2
Summary: A package with code from my ML projects that has a potential of being reusable
Author: Daniel Danis
Author-Email: daniel.gordon.danis[at]gmail.com
Home-Page: https://github.com/ielis/ddplt
License: GPLv3
Keywords: plotting machine learning evaluation metrics
Requires-Dist: matplotlib (>=3.1.0)
Requires-Dist: scikit-learn (>=0.22)
Requires-Dist: numpy (>=1.18)
Requires-Dist: pandas (>=1.0.0)
Requires-Dist: scipy (>=1.5.0)
Requires-Dist: ddconst (>=0.0.2)
Description-Content-Type: text/markdown
[Description omitted; length: 2728 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.35.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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ddplt/classification.py sha256=zPwq8tdWsWTKdprHg0lyVy2REftvn0dyu1JHdnvySRI 10463
ddplt/heatmaps.py sha256=al-BSxIRmmVsZrqbB-J7AIwCQF3ZeSLdD1J1icuv2bU 3160
ddplt/test_base.py sha256=6zW-IQCCXSOseMMV1Yfa9xYf6tLIeBj3oOfue75O6VM 1176
ddplt/test_classification.py sha256=orSy864zF020O15ndGANwdpbOOdN2PrBuDqYRFlT3Dg 1809
ddplt/test_heatmaps.py sha256=mHcDM4bhiqDphchYhAUTdFR_WHpZ4dXwk4wogIKCYKw 1570
ddplt/test_misc.py sha256=E8iHFiG1LZaBEDcd1y6_NexQKWeaC9mK5J9Yf6i9yFI 154
ddplt-0.0.2.dist-info/LICENSE sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY 35149
ddplt-0.0.2.dist-info/METADATA sha256=f5VDaujsofY-y9lD9yClLr8beph21ESPx-3cEr0RDvE 3300
ddplt-0.0.2.dist-info/WHEEL sha256=EVRjI69F5qVjm_YgqcTXPnTAv3BfSUr0WVAHuSP3Xoo 92
ddplt-0.0.2.dist-info/top_level.txt sha256=sBsyJASgObV7GClWgvyybs86O2GfWczbSiZX5eVAas4 6
ddplt-0.0.2.dist-info/RECORD — —

top_level.txt

ddplt