Automates data-driven machine learning for materials science via NJmatML (材料数据可视化、机器学习建模与预测)

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ervin42772 from gravatar.com ervin42772

Unverified details

These details have not been verified by PyPI
Meta
Classifiers

Project description

User Mannual（说明书参见）: https://github.com/Zhang-NJ-Lab/NJmatML/blob/main/2022-11-17/NJmatML-2022-11-17.ipynbcsv模板请参见：https://github.com/Zhang-NJ-Lab/NJmatML/tree/main/2022-11-17模块：数据读取，可视化，热图，特征选择，特征生成，重要性排名，机器学习建模，准确率计算，交叉验证，符号回归等等。封装了简便函数用于机器学习建模。实验友好

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ervin42772 from gravatar.com ervin42772

Unverified details

These details have not been verified by PyPI
Meta
Classifiers

Release history Release notifications | RSS feed

0.0.11

0.0.9

0.0.8

This version

0.0.7

0.0.5

0.0.4

0.0.3

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

NJmatML-0.0.7-py3-none-any.whl (11.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page