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boxsers

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1.5.0 boxsers-1.5.0-py3-none-any.whl

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Project: boxsers
Version: 1.5.0
Filename: boxsers-1.5.0-py3-none-any.whl
Download: [link]
Size: 45291
MD5: ecdb555970f955373072749e81999589
SHA256: 992660aadab1edb69411168866061ebeb3ba2188bc2fd073524f48b91cf61589
Uploaded: 2024-04-23 16:35:31 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: boxsers
Version: 1.5.0
Summary: Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).
Author: Alexis Lebrun
Author-Email: alexis.lebrun.1[at]ulaval.ca
Home-Page: https://github.com/ALebrun-108/BoxSERS
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: tensorflow
Requires-Dist: tables
Requires-Dist: scikit-image
Description-Content-Type: text/markdown
License-File: LICENSE.txt
[Description omitted; length: 7909 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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boxsers/_boxsers_utils.py sha256=Yr88zFEabLB7v7x5iI5gU6HFjvGZ2_fuDZKiPZfQS6o 987
boxsers/data_augmentation.py sha256=BuAFnunOnecGhjlQRM4MUQjEPBvL7AWU8KNvkWJAhYI 27673
boxsers/misc_tools.py sha256=qyiz0juyUmQC09W1QgnpQiG3H7ncCCaXxHtUbpKVE0c 11346
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boxsers/machine_learning/deep_interpretability.py sha256=C-sPa_6UMr-ujUxeozCLUI8SJv_hs_hQStM9kvWYgtc 180
boxsers/machine_learning/dimension_reduction.py sha256=PUqFVC1Q_siqh_jX8EsGML2kJNZFB30wR5EVGBIW_KQ 24227
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boxsers-1.5.0.dist-info/RECORD — —

top_level.txt

boxsers