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- 将
[0 1 2 3 4 5 6 7 8 9]标签转换成OneHot编码
from sklearn.preprocessing import OneHotEncoder
ohe = OneHotEncoder()
ohe.fit(np.arange(10).reshape(-1,1))
labels = ohe.transform(labels).astype('uint8').toarray()
- 将numpy数组保存为mat文件
- Step1：创建一个字典
- Step2：添加字典变量以及内容
- Step3：调用函数另存为
.mat文件
adict = {}
# Save as .mat file for Matlab Execution
adict['data_'+source+'_'+process] = data
adict['labels_'+process] = labels
sio.savemat('rms_seq_pic/cwru_'+process+ '.mat',adict)