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autoqtl

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0.1.1a0 autoqtl-0.1.1a0-py3-none-any.whl

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Project: autoqtl
Version: 0.1.1a0
Filename: autoqtl-0.1.1a0-py3-none-any.whl
Download: [link]
Size: 63749
MD5: 59427f899435d2f161cc7fc1126f3805
SHA256: bd5f724e6c9588f69b938bf7f90c7b8e2fbe0ab5407141637489e7fefc3dabab
Uploaded: 2023-08-17 16:47:27 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt · zip-safe

METADATA

Metadata-Version: 2.1
Name: autoqtl
Version: 0.1.1a0
Summary: Automated Quantitative Trait Locus Analysis Tool
Author: Attri Ghosh
Author-Email: attri.ghosh[at]cshs.org
Home-Page: https://github.com/EpistasisLab/autoqtl
License: GNU/LGPLv3
Keywords: qtl analysis,pipeline optimization,hyperparameter optimization,data science,genetic programming,evolutionary computation
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: numpy (>=1.16.3)
Requires-Dist: scipy (>=1.3.1)
Requires-Dist: scikit-learn (==1.2.2)
Requires-Dist: deap (>=1.2)
Requires-Dist: update-checker (>=0.16)
Requires-Dist: tqdm (>=4.36.1)
Requires-Dist: stopit (>=1.1.1)
Requires-Dist: pandas (>=0.24.2)
Requires-Dist: joblib (>=0.13.2)
Requires-Dist: matplotlib (>=3.6.2)
Requires-Dist: seaborn (>=0.11.2)
Requires-Dist: shap (>=0.39.0)
Requires-Dist: fpdf (>=1.7.2)
Requires-Dist: filelock (>=3.11.0)
Requires-Dist: imbalanced-learn (>=0.7.0); extra == "imblearn"
Requires-Dist: scikit-mdr (>=0.4.4); extra == "mdr"
Requires-Dist: skrebate (>=0.3.4); extra == "skrebate"
Provides-Extra: imblearn
Provides-Extra: mdr
Provides-Extra: skrebate
License-File: LICENSE
[Description omitted; length: 77 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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autoqtl/autoqtl.py sha256=i_F1wwaKFtOWqxTzRTQi77pO7heKvGtEj5IGOqIqkqg 1048
autoqtl/base.py sha256=vynKHx3uA87mcWJq9migrwjb1EgJ4n3sjFKHTVqYK9o 130264
autoqtl/decorators.py sha256=ELrnuTpWBd4T9Jvl44f91lt5zVEf7J2DlgROS6VvvFw 3237
autoqtl/export_utils.py sha256=oPv0TwuD9mUARR45bKz_p-yzTl2kCehj_GPvgnMmI-U 15669
autoqtl/gp_deap.py sha256=4rT_8tzg8tUo5cRCq9Kd6I7YyYdjHfAbodOrQHcHRP4 21328
autoqtl/gp_types.py sha256=_4M4uLJTft32Mvc0bFBFHayB996w2koPbm3oaOiVn9A 84
autoqtl/operator_utils.py sha256=VxeyrLOQ85qy1e7FhTHpZAo7ayqju8Z9K1OEdR_sGaI 13008
autoqtl/builtins/__init__.py sha256=FkhOOC7MzgMbL9436O5YK71KaVjYHvVA_RqQJW21wuc 745
autoqtl/builtins/combine_dfs.py sha256=Dn6hPj2GTRFmLQsr9KW4uEvcFp-Rwj5I-ScwBQmbiqI 196
autoqtl/builtins/feature_encoding_frequency_selector.py sha256=e5kpfP_ng2QSXCSWTSJwYWUb6kh95x-ROUWQLLFGXGU 5125
autoqtl/builtins/genetic_encoders.py sha256=OHA4yUNblGjFEL_BRGBeRjIePBlbazgWsmtxVl0GVt8 6764
autoqtl/config/__init__.py sha256=4-Zen_WtxaJlU_LT0GAeSWwwz9mpT7BpHBE2TXyRUkU 44
autoqtl/config/regressor.py sha256=hD9ClZ6fxf5njYlsYcr9hjUfFf0ZU5lZpDqQr-lz9XA 2098
autoqtl-0.1.1a0.dist-info/LICENSE sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY 35149
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autoqtl-0.1.1a0.dist-info/entry_points.txt sha256=_AFBxZQ4LtKiF2eczfFRWZPgYzqTP8tuHUjxBO5tpOI 41
autoqtl-0.1.1a0.dist-info/top_level.txt sha256=14A6KDsGAZJ5dOxU3T8wEeXeDWpkYamURZcdkTw0vM0 8
autoqtl-0.1.1a0.dist-info/zip-safe sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
autoqtl-0.1.1a0.dist-info/RECORD — —

top_level.txt

autoqtl

entry_points.txt

[console_scripts]
autoqtl = autoqtl:main

zip-safe