Wheelodex » Projects » regression-model-template

regression-model-template

View on PyPI — Reverse Dependencies (0)

0.1.0 regression_model_template-0.1.0-py3-none-any.whl

Wheel Details

Project: regression-model-template
Version: 0.1.0
Filename: regression_model_template-0.1.0-py3-none-any.whl
Download: [link]
Size: 190612
MD5: 231f58133b38e85a1938a8cd4e8e4705
SHA256: 037dc7c20e0c06bcfb6c4ae673ee2f4201620739376a1c24711d4fad2b31b191
Uploaded: 2022-04-13 16:32:40 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: regression-model-template
Version: 0.1.0
Summary: Example regression model package for house prices.
Author: particle1331
Author-Email: particle1331[at]gmail.com
Home-Page: https://github.com/particle1331/model-deployment
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 (<1.23.0,>=1.22.0)
Requires-Dist: pandas (<1.5.0,>=1.4.0)
Requires-Dist: pydantic (<1.9.0,>=1.8.1)
Requires-Dist: pandera (>=0.9.0<1.0.0)
Requires-Dist: scikit-learn (<1.1.0,>=1.0.0)
Requires-Dist: strictyaml (<1.4.0,>=1.3.2)
Requires-Dist: ruamel.yaml (==0.16.12)
Requires-Dist: feature-engine (<1.1.0,>=1.0.2)
Requires-Dist: joblib (<1.1.0,>=1.0.1)
Description-Content-Type: text/markdown
[Description omitted; length: 52 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
regression_model/VERSION sha256=6d2FB_S_DG9CRY5BrqgzrQvT9hJycjNe7pv01YVB7Wc 6
regression_model/__init__.py sha256=lT6Lnsezz0OG1f555-BI7X6JWDhya9QR41swUJluJNo 214
regression_model/config.yml sha256=CINvYonBw1EfvW9C3wglFd6sqcFKkxnVfIhDatnCe9Q 2325
regression_model/pipeline.py sha256=70hjdXj868MXAKW7kf6iq6HfrkNXSzKFxiR--Ux4jUA 4064
regression_model/predict.py sha256=Kpr1SuqfRNdxbaPSWCmyaTSHTntLCwS1ymc7xR1bYRM 964
regression_model/train_pipeline.py sha256=dPCI9-z4HoLDlqs-n06-LpZyjZOT0RnM16tt7WoFLVU 1166
regression_model/config/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
regression_model/config/core.py sha256=30basNfNslLE1hMyk1lNOwAiMI-FqEjhacmSuIpZbDg 2343
regression_model/datasets/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
regression_model/datasets/test.csv sha256=j909gp1NmGtY-EXJVTsiXmfdg4NiTZD7bKHUvtV5jB4 451405
regression_model/datasets/train.csv sha256=Hhit34Hl5NNHzBfuYHW75KQrf6JrnlsGPo9pKl-SnUE 460676
regression_model/processing/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
regression_model/processing/data_manager.py sha256=x2hY7auS7SJ3zcboqzBIJIHbY5f0XXp3wM5HBAYo31w 1650
regression_model/processing/features.py sha256=7HVRgq0huE28LOJN2_-eyXOe1V72voPFSn38iQcoERE 1419
regression_model/processing/schemas.py sha256=gOXdn02yA47WRaFyuzfRcFJsv2uQqgdXOYYUOxadGP4 2620
regression_model/processing/validation.py sha256=ZpENGtSmZgh8GBWK06GCBHHsC7vwac75v5_ik-2nBb0 1656
regression_model/trained_models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
regression_model/trained_models/regression_model_output_v0.1.0.pkl sha256=aYvNiR84zMWdqY2iqe3bQJEEHd_EY6ZyUUoMevw9TQs 11360
regression_model_template-0.1.0.dist-info/METADATA sha256=vymE19ms0gAieP9gb3Kj-VKwrQCDrmNmoWweSIGpYk8 1253
regression_model_template-0.1.0.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
regression_model_template-0.1.0.dist-info/top_level.txt sha256=LJGM0L_SB9KXVONS_R9rxhoKF0pMgj3xtM1Mmt4we8c 17
regression_model_template-0.1.0.dist-info/RECORD — —

top_level.txt

regression_model