predictive maintenance machine learning 源码
分类培训和验证 X_dados = df [[ "volt" , "rotate" , "pressure" , "vibration" ]] y_dados = df [ "failure" ] from sklearn . model_selection import train_test_split X_train , X_test , y_train , y_test = train_test_split ( X_dados , y_dados , test_size = 0.33 , random_state = 42 ) print ( 'Dados treino X: {}' . format ( len ( X_train )) ) print ( 'Dados teste X: {}' . format ( len ( X_test )) ) print ( 'Dad
文件列表
predictive-maintenance-machine-learning-main.zip
(预估有个7文件)
predictive-maintenance-machine-learning-main
Documentação das funções usadas.md
3KB
code.py
18KB
README.md
4KB
Código01.md
22KB
code_download.py
18KB
database2021.csv
6KB
database2021-2.csv
123B
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