Wheelodex » Projects » fftid-regression-model

fftid-regression-model

View on PyPI — Reverse Dependencies (0)

0.0.2 fftid_regression_model-0.0.2-py3-none-any.whl

Wheel Details

Project: fftid-regression-model
Version: 0.0.2
Filename: fftid_regression_model-0.0.2-py3-none-any.whl
Download: [link]
Size: 14005
MD5: f1c60610379c776eb365f3bccd276de3
SHA256: cd4de78292cff3239adad4b01757b5c5889c85f38484b88eb5a044f2ef47fa29
Uploaded: 2022-07-10 15:25:06 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: fftid-regression-model
Version: 0.0.2
Summary: Example regression model package from Train In Data.
Author: Artem Moshnin
Author-Email: swift.uix[at]gmail.com
Home-Page: https://github.com/Artem711
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: 53 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=y-NTX1iTRVRydKI09GknkRSUGWd6Z3N7bhfzcbY_3e0 5
regression_model/__init__.py sha256=I0KdQhp15uB2q29QRVTkhwk7e09mSXY5S5aqdbfVqJo 858
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=EQ85MBxVAk0vlQifhz2w1Z2N-AajixlgB4HxJlCY7R0 936
regression_model/config/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
regression_model/config/core.py sha256=BciGN8KMjR9oR1VSE3rd6Xb1RMsgdz4Hodx3UhgzeRU 2533
regression_model/datasets/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
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=3DlvKH7gxfed6Lo3s6n-gdU0N8R_vdaNaVLD6eSfDSU 11360
fftid_regression_model-0.0.2.dist-info/METADATA sha256=s8StnIhj1Md3OHMKOygK6LilKC2wM-6tYvgC9SxCQY8 1173
fftid_regression_model-0.0.2.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
fftid_regression_model-0.0.2.dist-info/top_level.txt sha256=LJGM0L_SB9KXVONS_R9rxhoKF0pMgj3xtM1Mmt4we8c 17
fftid_regression_model-0.0.2.dist-info/RECORD — —

top_level.txt

regression_model