semvec/pypi-packages huggingface dataset:
NJmatML 0.0.11
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)

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。
haxorsiambomber 1.1.3
SMS Bomber Project.
Requires Python: >=3.6

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