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MLimputer

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1.0.70 mlimputer-1.0.70-py3-none-any.whl

Wheel Details

Project: MLimputer
Version: 1.0.70
Filename: mlimputer-1.0.70-py3-none-any.whl
Download: [link]
Size: 13671
MD5: 348b94bdb6c9addaa9e78ac65076faae
SHA256: 1a672bfc6f03cf626f83634c344ff55a146034018598dd7f08f9b16e0bbe0e94
Uploaded: 2024-10-24 18:26:03 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: mlimputer
Version: 1.0.70
Summary: MLimputer - Missing Data Imputation Framework for Supervised Machine Learning
Author: Luís Santos
Author-Email: luisf_ssantos[at]hotmail.com
Home-Page: https://github.com/TsLu1s/MLimputer
License: MIT
Keywords: data science,machine learning,null imputation,missing data imputation,predictive imputation,multivariate imputation,automated machine learning,data preprocessing
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Customer Service
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Telecommunications Industry
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: scikit-learn (>=1.0.2)
Requires-Dist: atlantic (>=1.1.50)
Requires-Dist: catboost (>=1.1.1)
Requires-Dist: xgboost (>=1.7.3)
Requires-Dist: lightgbm (>=3.3.5)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 6982 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
mlimputer/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mlimputer/imputation.py sha256=gn0tX4HbFu9iG-NDd6yo_h58YhkRNAoNs9KWzw2Ibp8 5434
mlimputer/model_selection.py sha256=qAZQL8E0HBTxDuUECQ27KrMl-AgjsFnNJJstpQKp-uE 6458
mlimputer/models_imputation.py sha256=A6tCTUyCJz80Ihii1UQjQBk1_W-tkFC4bW3rYGdKFwA 21184
mlimputer/parameters.py sha256=bj8vYDpndwYwK4iEVlXZYTTWRtQU9yPPhLO5IvpqUK4 2801
mlimputer-1.0.70.dist-info/LICENSE sha256=BMKwnVd_OgrW1_Ls-_WlfHpr-s7KFtcT6t9t9tfFk8g 1090
mlimputer-1.0.70.dist-info/METADATA sha256=pVUaPJvb4K7y7I1tWNyzD-fcldv8t8pjmgIgizWKJiY 8643
mlimputer-1.0.70.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
mlimputer-1.0.70.dist-info/top_level.txt sha256=6qseujMDdh0A5GoDaKPU6kp9vnXciE1XKZIvz88dVzE 10
mlimputer-1.0.70.dist-info/RECORD — —

top_level.txt

mlimputer