Wheelodex » Projects » ML-medic-kit

ML-medic-kit

View on PyPI — Reverse Dependencies (0)

0.2.1 ML_medic_kit-0.2.1-py3-none-any.whl

Wheel Details

Project: ML-medic-kit
Version: 0.2.1
Filename: ML_medic_kit-0.2.1-py3-none-any.whl
Download: [link]
Size: 66481
MD5: b0bf919c1ef6a12b123f0386e947853f
SHA256: 847c1fe120490c24339cb3f748abddb0cceab79cf5894c42bafbf4f7fa2dc4f9
Uploaded: 2023-12-16 15:47:19 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: ML-medic-kit
Version: 0.2.1
Summary: The Machine Learning Medic Kit is designed to enhance the capabilities of health data scientists tackling binary classification problems
Author: Martha Dinsdale, Holly Manning
Author-Email: md661[at]exeter.ac.uk
Home-Page: https://github.com/marthadinsdale/hds_ca2
License: The MIT License (MIT)
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6.9
Requires-Dist: jupyterlab (==1.2.6)
Requires-Dist: matplotlib (==3.1.3)
Requires-Dist: numpy (==1.18.1)
Requires-Dist: pandas (==1.0.1)
Requires-Dist: pytest (==5.3.5)
Requires-Dist: scipy (==1.4.1)
Requires-Dist: seaborn (==0.10.0)
Requires-Dist: scikit-learn (==0.24.1)
Requires-Dist: pytest-cov (==2.10.0)
Requires-Dist: setuptools (>=51.1.2)
Requires-Dist: twine (>=3.3.0)
Requires-Dist: wheel (>0.36.2)
Requires-Dist: shap (==0.40.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2815 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
ML_medic_kit/__init__.py sha256=1G30JyjkRedKqiQ-6McscrjcKJ0OS8ZJ2Z7x1T_vlnk 98
ML_medic_kit/cross_validation.py sha256=c1alnyLwQVz9N8oBG8mlIu1A134HaSiILAZ57Z3Vqsg 692
ML_medic_kit/data_preprocessing.py sha256=h-D2AAriIwWzvEtIESp8cUf1ucaaCMbuJvqafohiJuU 5029
ML_medic_kit/hyperparameter_tuning.py sha256=aANBddud2RnVTV_VtywmoaA6zAVNYFI_e7TUwKCtytM 1410
ML_medic_kit/model_evaluation.py sha256=8Y8aSHAa6gz0TnLhy1tc9JlWhtI8UnGMLghhVYQPJic 4975
ML_medic_kit/model_selection.py sha256=s2FAXJ6AB3fBhTl7PJL5CSPcC9zk7JSiO0W3VTCPuMk 4043
ML_medic_kit/visualisation.py sha256=zgaGV_sq6oIelneFwVUTCgzBVLH8QhZO6oWC67h0TaM 14156
ML_medic_kit/data/breast_cancer_data.csv sha256=FCXZr_p4uo5Tr8gdDvihkGnuEMSyH-ibPPUUBxsS7jM 125204
ML_medic_kit/data/heart_disease_data.csv sha256=y6gKlpqDKI6E9PmB5_wz_k7xKKlwiVkpI2jkIifJwss 11928
ML_medic_kit-0.2.1.dist-info/LICENSE sha256=z_Yym1KE8lPlAW0vnCUVuW3_3SGU-oX1yXcIqRkLPQs 1071
ML_medic_kit-0.2.1.dist-info/METADATA sha256=PZPOzvRwN2DOvXK5mk2Eql8JfBC8JrOi0Z1-WwT7ECQ 3922
ML_medic_kit-0.2.1.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
ML_medic_kit-0.2.1.dist-info/top_level.txt sha256=3qCtYb-ixkmxh9akB1HzIEievEx_k_AiGirHVXzTKxo 13
ML_medic_kit-0.2.1.dist-info/RECORD — —

top_level.txt

ML_medic_kit