house-price-prediction-regression-model

View on PyPIReverse Dependencies (0)

0.0.1 house_price_prediction_regression_model-0.0.1-py3-none-any.whl

Wheel Details

Project: house-price-prediction-regression-model
Version: 0.0.1
Filename: house_price_prediction_regression_model-0.0.1-py3-none-any.whl
Download: [link]
Size: 190971
MD5: 2ca21ac9ab3ee2cf3495c2b9392e9d4c
SHA256: d02264a9c4f259ddd59fe1a0131b2b52fff3fc8bfc2ac1312d6c3bb134e6bfba
Uploaded: 2022-04-11 10:39:23 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: house-price-prediction-regression-model
Version: 0.0.1
Summary: Example regression model package from Train In Data.
Author: ChristopherGS
Author-Email: christopher.samiullah[at]protonmail.com
Home-Page: https://github.com/trainindata/testing-and-monitoring-ml-deployments
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 (<1.21.0,>=1.20.0)
Requires-Dist: pandas (<1.4.0,>=1.3.5)
Requires-Dist: pydantic (<1.9.0,>=1.8.1)
Requires-Dist: scikit-learn (<1.1.0,>=1.0.2)
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: 54 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=5mNQReHSR47EynEtjA4d_O-Lt7Wx6OO7Vg03_jmannI 6
regression_model/__init__.py sha256=I0KdQhp15uB2q29QRVTkhwk7e09mSXY5S5aqdbfVqJo 858
regression_model/config.yml sha256=CINvYonBw1EfvW9C3wglFd6sqcFKkxnVfIhDatnCe9Q 2325
regression_model/pipeline.py sha256=F_5FKhFGg86s59uJb-yi-qOoVV3wu4VzH-1qiwV6gDU 3889
regression_model/predict.py sha256=8TbbVt5AULWy8_XjV_tRFTVHD2ZqOICHIlq1nLvOMaE 1077
regression_model/train_pipeline.py sha256=hUf5fYQiqqR0xK5khqIjWF4-vPP7rP8BL0WtNlVa8qM 937
regression_model/config/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
regression_model/config/core.py sha256=vrz2l9x1AY_2n0knneN-8nZDHUIxdBOEgV1AmPLFl7g 2560
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=InVPdB5G0ji9nITDzY2d9yi6-U_didcwMku-YXyg8zM 1893
regression_model/processing/features.py sha256=W16wgDC4-dcFPYjUDtXE6HIdXpemh3RX2-t_cRcQWls 1547
regression_model/processing/validation.py sha256=6QBZI0kF4vd0_MQKfkWzbJX57P2w5Cui5UBaIf7MH7g 4137
regression_model/trained_models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
regression_model/trained_models/regression_model_output_v0.0.1.pkl sha256=NLVLh027S8WMKTHI29u4opxhDDuclbZRSFBzWq-O5U8 11360
house_price_prediction_regression_model-0.0.1.dist-info/METADATA sha256=E5yMT5tUpTAflplME8ls-F-v26ctXn5ELIuxbTnt9E0 1267
house_price_prediction_regression_model-0.0.1.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
house_price_prediction_regression_model-0.0.1.dist-info/top_level.txt sha256=LJGM0L_SB9KXVONS_R9rxhoKF0pMgj3xtM1Mmt4we8c 17
house_price_prediction_regression_model-0.0.1.dist-info/RECORD

top_level.txt

regression_model