User Mannual（说明书参见）: https://nbviewer.org/github/Zhang-NJ-Lab/NJmatML/blob/main/2022-11-21/NJmatML-2022-11-21.ipynb
csv模板请参见：https://github.com/Zhang-NJ-Lab/NJmatML/tree/main/2022-11-17
起始训练测试数据集csv（最右一列需要为输出数据，每列需要有列名）：https://github.com/Zhang-NJ-Lab/NJmatML/blob/main/2022-11-17/2DEformationCleaned.csv
待预测csv：https://github.com/Zhang-NJ-Lab/NJmatML/blob/main/2022-11-17/x_New.csv
特征生成中的无机材料化学式csv：https://github.com/Zhang-NJ-Lab/NJmatML/blob/main/2022-11-17/Inorganic_formula.csv
特征生成中的有机材料化学式csv：Featurize_formula_exps.csv
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。
1 maintainer
Release files for NJmatML 0.0.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| NJmatML-0.0.11-py3-none-any.whl | Python 3 | none | any | Details |
Release files / NJmatML-0.0.11-py3-none-any.whl
| Download URL | NJmatML-0.0.11-py3-none-any.whl |
|---|---|
| Size | 12.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f85c2dba2eda46d7806657318db38dd7e6f7d64d238fd6ac2bd0937330b31d5e
|
|
BLAKE2b-256 checksum How to use checksums |
95015a4153cfc72969c0dae520d71cb8bcddd952b6acaec4c15ff419c9f91a9d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.8
|
