minirocket 数据维度

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这个错误是因为 MiniRocket 要求输入的时间序列长度至少为 9，而您的数据长度只有 1，因此需要使用零填充将其长度增加到 9。您可以使用 tsai 库中的 pad_min_len 函数来实现这一点。以下是修改后的代码：

1. from tsai.all import MiniRocket, pad_min_len
   
2. import numpy as np
   
3. import pandas as pd
   
4. from sklearn.model_selection import train_test_split
   
5. from tsai.basics import *
   
6. from tsai.models.MINIROCKET import MiniRocketClassifier
   
7. 
   
8. df1 = pd.read_csv("train.csv")
   
9. df1 = np.array(df1)
   
10. X = df1[:, 1:891]
    
11. X = np.expand_dims(df1[:, 1:891].astype(float), axis=2)
    
12. Y = df1[:, 0]
    
13. print(X.shape, Y.shape)
    
14. df2 = pd.read_csv("test.csv")
    
15. df2 = np.array(df1)
    
16. X_test = df2[:, 1:891]
    
17. 
    
18. # 使用 pad_min_len 函数将 X 的长度增加到 9
    
19. X = pad_min_len(X, 9)
    
20. 
    
21. X_train, X_valid, y_train, y_valid = train_test_split(X, Y, test_size=0.8, random_state=42)
    
22. print(X_train.shape, y_train.shape, X_valid.shape, y_valid.shape)
    
23. model = MiniRocketClassifier()
    
24. model.fit(X_train, y_train)
    
25. 
    
26. cls = MiniRocket()
    
27. y = model.score(X_valid, y_valid)
    
28. print(y)
    

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希望能够帮到您！