Wheelodex » Projects » CoNSEPT

CoNSEPT

View on PyPI — Reverse Dependencies (0)

0.5.0 CoNSEPT-0.5.0-py3-none-any.whl

Wheel Details

Project: CoNSEPT
Version: 0.5.0
Filename: CoNSEPT-0.5.0-py3-none-any.whl
Download: [link]
Size: 17122
MD5: 4cb52de733668fcf4bdc9b723caca721
SHA256: 28bf72e19d6de0c7761e1fc5ecebd3e044d93631d0e8c40007c81ce1602912c1
Uploaded: 2021-03-14 21:29:10 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: CoNSEPT
Version: 0.5.0
Summary: A Convolutional Neural Network-based Sequence-to-Expression Prediction Tool
Author: Payam Dibaeinia
Author-Email: dibaein2[at]illinois.edu
Home-Page: https://github.com/PayamDiba/CoNSEPT
License: MIT License
Requires-Python: >3.5.2
Requires-Dist: tensorflow (>=2.3)
Requires-Dist: numpy
Requires-Dist: pandas
Description-Content-Type: text/markdown
[Description omitted; length: 5571 characters]

WHEEL

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

RECORD

Path Digest Size
CoNSEPT/CNN.py sha256=e3s45Cq3pot1Y7SmaP3Psm1Py4rHWcU-EmEX96FH-Rw 8047
CoNSEPT/DataBuilder.py sha256=IhsnKl1HVYFYhKPW7UJ9hyU43bqp4Hb4rUL06TfT2aQ 3625
CoNSEPT/Dataset.py sha256=zngR_1BEH4U3Lcsx1afcVBrun85N3iti1-GnF6rCd2E 6609
CoNSEPT/S2E.py sha256=PtPr3keAXr1q_kfFOgpA0kLeJf1YbU8KPg9L-bd9R4w 9003
CoNSEPT/__init__.py sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
CoNSEPT/train.py sha256=ICfl3tgKta0G6W4QIDyBgjCfsZddZCYqc-RGN9QybAU 11326
CoNSEPT/utils.py sha256=vMx_CSZMudCxXBU6Z9ghVhH_KshmSU20SmywqUBqTOQ 2305
CoNSEPT-0.5.0.dist-info/LICENSE sha256=IADkjLiiRmGox_k9N055NBhvRj41-J2qUFVaJ0FQFUs 1072
CoNSEPT-0.5.0.dist-info/METADATA sha256=Vbi3ahBGvY0KQUdX9Lhj0tgfD2x1ap0bkvISePtSQBY 5998
CoNSEPT-0.5.0.dist-info/WHEEL sha256=EVRjI69F5qVjm_YgqcTXPnTAv3BfSUr0WVAHuSP3Xoo 92
CoNSEPT-0.5.0.dist-info/entry_points.txt sha256=P5cdNSBJkKlj5cPyES9laC-elETOjsEPv_1dQE4YV5g 48
CoNSEPT-0.5.0.dist-info/top_level.txt sha256=f-QCz7-Bw1urdI09T1DWzFx8UqmW3Ihf-OGD0bPbNg4 8
CoNSEPT-0.5.0.dist-info/RECORD — —

top_level.txt

CoNSEPT

entry_points.txt

[console_scripts]
consept = CoNSEPT.train:main