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ddop2

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0.0.5 ddop2-0.0.5-py3-none-any.whl

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Project: ddop2
Version: 0.0.5
Filename: ddop2-0.0.5-py3-none-any.whl
Download: [link]
Size: 4172413
MD5: ecca1075294bf58bd2604f5cdd42c9e7
SHA256: de1baa497f0e26791804353926759279cbfc9cb603e552ce966efacab39c36c2
Uploaded: 2023-08-09 22:43:51 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: ddop2
Version: 0.0.5
Summary: Restructuring of ddop
Author: kaiguender
Author-Email: kai.guender[at]yahoo.de
Home-Page: https://github.com/opimwue/ddop2
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.7
Requires-Dist: fastcore (>=1.5.29)
Requires-Dist: numpy (>=1.18.2)
Requires-Dist: scipy (>=1.4.1)
Requires-Dist: pandas (>=1.1.4)
Requires-Dist: statsmodels (>=0.11.1)
Requires-Dist: scikit-learn (>=0.23.0)
Requires-Dist: tensorflow (>=2.4.1)
Requires-Dist: pulp (>=2.0)
Requires-Dist: mpmath
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 47 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
ddop2/__init__.py sha256=QvlVh4JTl3JL7jQAja76yKtT-IvF4631ASjWY1wS6AQ 22
ddop2/_modidx.py sha256=C6cgHKqdqP8SGObh66zRWTAIqaLIMDA1NXT1CHwxkYw 486
ddop2/core.py sha256=XvYRFJnboqMdZHx5H7r0_lA-3XPdhaQT2VEq4mdIHEg 142
ddop2/datasets/__init__.py sha256=-ZhdAxio2BNlLPKoCV78F8z1qj6ti8hwU-x2WYDihws 101
ddop2/datasets/_base.py sha256=VeCVxMGMwFpRV7rS3Rlts0OjDGGKmT4tWDPuiRz-i4M 11978
ddop2/datasets/data/SID_data.csv sha256=75cD6QqHZ7E0F7w-g4SszW0f6LFeG5cJGiAaM69H95E 26403995
ddop2/datasets/data/SID_target.csv sha256=-B6GsASylNCUVWm3LWrKM61EWPoAvKxks0P1xrLkm14 2798473
ddop2/datasets/data/bakery_data.csv sha256=dWFzYRfohVA88oW80HROiBR3ek7QN0nyaIYlEeu2pis 6314311
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ddop2/datasets/descr/SID.rst sha256=R9xuYsEGFPdduit7YQhIRsGL7q7A47sDm5nzeQ2rnfQ 681
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ddop2/metrics/__init__.py sha256=HE2bCOXPcmtJ1_zoV3bj_Svsb1rKy3NRLSvp0wBCZ94 233
ddop2/metrics/_costs.py sha256=LTzBNGzF7Z-ikAlT1DSEsZupa7dyu2f8BvrrXLU-BTY 8884
ddop2/metrics/_scorer.py sha256=PQud5hkpPK9NR7Gdspkell7zxDB-5AaPBrTVOJ9m0Mg 3155
ddop2/newsvendor/_DeepLearningNewsvendor.py sha256=D6k6TWdVYxziXp8g3EBiwakOqdYACBjfm_fRryCvlXc 7599
ddop2/newsvendor/_ExponentialSmoothingNewsvendor.py sha256=SY61yh7x1tLuk9g0VE-PIiDuDLZgRNUq2t03jOeVtr0 9697
ddop2/newsvendor/_LinearRegressionNewsvendor.py sha256=UxdwBSZkQhzMSCpzGwBAgLhaljL7K13k-dImI0zrI1w 5563
ddop2/newsvendor/_SampleAverageApproximationNewsvendor.py sha256=iva8pcAJ8yb3hHjwkVRb8FLskKtX10VvJmJu2J_3gGI 4321
ddop2/newsvendor/_WeightedNewsvendor.py sha256=i_MtC_NHxi8tP-dd8oNYCdUEIpNfpxMNqLR0f3QiKLs 38274
ddop2/newsvendor/__init__.py sha256=cAU477EJ7Ekxtty8kQyc1P6B1nL4sphwGFDMgwT2Am0 646
ddop2/newsvendor/_base.py sha256=uyCxcrwkt1yNQeLCl3dQbl3rQ-jPuYi_hIpwBHqt7BI 2060
ddop2/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ddop2/utils/validation.py sha256=5G1uxU8wNJqsT2H4_35vCJ5qWfpHZiX9rUxKTWCcdZ4 1794
ddop2-0.0.5.dist-info/LICENSE sha256=xV8xoN4VOL0uw9X8RSs2IMuD_Ss_a9yAbtGNeBWZwnw 11337
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ddop2-0.0.5.dist-info/entry_points.txt sha256=ar1xgf4b1yXgyVyYuBRINfk0Z4fAq1gNuE3wwpk9bwU 32
ddop2-0.0.5.dist-info/top_level.txt sha256=i99C5iWImAr2WgwSq4CQsIvcCpQA70soNJjrdbPtPhc 6
ddop2-0.0.5.dist-info/RECORD — —

top_level.txt

ddop2

entry_points.txt

[nbdev]
ddop2 = ddop2._modidx:d