Wheelodex » Projects » heart-dissease-classifier-dgcr

heart-dissease-classifier-dgcr

View on PyPI — Reverse Dependencies (0)

3.0.0 heart_dissease_classifier_dgcr-3.0.0-py3-none-any.whl

Wheel Details

Project: heart-dissease-classifier-dgcr
Version: 3.0.0
Filename: heart_dissease_classifier_dgcr-3.0.0-py3-none-any.whl
Download: [link]
Size: 28950
MD5: 1ed7d0f2e725c0c48e3735eee3513414
SHA256: 0d8be089b185d99c943b99db3bb5b612c8ab2a3b6de37ac014a9d4f9d9e0d55e
Uploaded: 2024-02-23 05:35:21 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: heart-dissease-classifier-dgcr
Version: 3.0.0
Summary: E2E classifier for heart disease.
Author: DavidGCR
Author-Email: dchoqueluque[at]gmail.com
Home-Page: https://github.com/davidGCR/test_rimac
License: BSD-3
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.6.0
Requires-Dist: numpy (<1.25.0,>=1.21.0)
Requires-Dist: pandas (<2.0.0,>=1.3.5)
Requires-Dist: pydantic (<2.0.0,>=1.8.1)
Requires-Dist: scikit-learn (<2.0.0,>=1.1.3)
Requires-Dist: strictyaml (<2.0.0,>=1.3.2)
Requires-Dist: ruamel.yaml (<1.0.0,>=0.16.12)
Requires-Dist: feature-engine (<1.6.0,>=1.0.2)
Requires-Dist: joblib (<2.0.0,>=1.0.1)
Requires-Dist: twine (>=5.0.0)
Requires-Dist: boto3
Description-Content-Type: text/markdown
[Description omitted; length: 34 characters]

WHEEL

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

RECORD

Path Digest Size
classifier_model/VERSION sha256=KYW-iyjTrehY6Nj7S8IvVlsb9gIN_5gtzhQfdyG5mZw 6
classifier_model/__init__.py sha256=PRPhTM1u5Lxvcma5xL76ce1KKrOvJHAgM7djph9NJwI 858
classifier_model/config.yml sha256=tB9VAeDISteS55siavYhVpHg6zLNdrRNWkyl9nS870k 788
classifier_model/pipeline.py sha256=U8NIfN-u75QxfrzoP09qmurcx4GwpURzlHtJXPLOih0 610
classifier_model/predict.py sha256=fU_AmQioaV1ilC71oNu0tXe7WxiaS7thIvN47V0T_qY 988
classifier_model/train_pipeline.py sha256=NPp9j52pxXrM2Lp6XXKIkaM7Z2Y9sLc65BIsTREBBRA 1242
classifier_model/config/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
classifier_model/config/core.py sha256=YkBmPols9oVr0he8rSVT4uEBsW5QGQFTs_5ceJVEfFw 2725
classifier_model/datasets/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
classifier_model/datasets/test.csv sha256=--n8gd-VfOJAcQYiL4z7I7S-axCNDm_KyOzLAA4zkVc 11199
classifier_model/datasets/train.csv sha256=0_bstyYaI2WkgsvFwkK-8FNDYFqlH-rQsUAF0jzJwpY 25978
classifier_model/processing/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
classifier_model/processing/data_manager.py sha256=e2Ue3OCOFvIWHr3lG9hUlOactY-tDXS-oCwSR6C8IoQ 2266
classifier_model/processing/validation.py sha256=XdDQ6NAIL_ikL77psIe9QFObgVzW1roghltl6qmi_XA 556
classifier_model/trained_models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
classifier_model/trained_models/classifier_model_output_v3.0.0.pkl sha256=EKxzXOeaiDyvlCEtUnRXHmSrZbTsqCTlchbh8bFnXJM 56954
heart_dissease_classifier_dgcr-3.0.0.dist-info/METADATA sha256=jCtnNz3bRM1n90KOE49Sgx3Z5Kit8phUdxYw9_n-4Fw 1193
heart_dissease_classifier_dgcr-3.0.0.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
heart_dissease_classifier_dgcr-3.0.0.dist-info/top_level.txt sha256=73ILk3vQgqHCwPJRiN_sfq4HM94Skp36WreKjTAqExU 17
heart_dissease_classifier_dgcr-3.0.0.dist-info/RECORD — —

top_level.txt

classifier_model