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tid-gradient-boosting-model

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0.3.0 tid_gradient_boosting_model-0.3.0-py3-none-any.whl

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Project: tid-gradient-boosting-model
Version: 0.3.0
Filename: tid_gradient_boosting_model-0.3.0-py3-none-any.whl
Download: [link]
Size: 221760
MD5: 739f528d33c05aec6f0429e8ee9c8ddb
SHA256: 529d2b063de04763980a0500ff87ae04b6a77bd42954a6fd4e0ae50c62fb7f0f
Uploaded: 2022-04-09 14:40:59 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: tid-gradient-boosting-model
Version: 0.3.0
Summary: Gradient boosting regression model 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 :: 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: scikit-learn (<1.1.0,>=1.0.2)
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Requires-Dist: joblib (<1.1.0,>=1.0.1)
Requires-Dist: strictyaml (<1.4.0,>=1.3.2)
Requires-Dist: ruamel.yaml (==0.16.12)
Requires-Dist: pydantic (<1.9.0,>=1.8.1)
Requires-Dist: marshmallow (<4.0,>=3.2.2)
Requires-Dist: setuptools (<42.0.0,>=41.4.0)
Requires-Dist: wheel (<0.34.0,>=0.33.6)
Description-Content-Type: text/markdown
[Description omitted; length: 57 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.6)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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gradient_boosting_model/predict.py sha256=QnPoPS2IXJ_-40vKRRN85IUhD8S4xBlD-xevnPiUZpk 1183
gradient_boosting_model/train_pipeline.py sha256=8u-YAlJ2Ecv4pX1DOgkmVxWjtIyCc0hvNuva5-udwdo 1113
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tid_gradient_boosting_model-0.3.0.dist-info/RECORD — —

top_level.txt

gradient_boosting_model