problem

[Richard-hard]

following your guidance， i get the dataset successfully, but i have a problem, it confused me a lot . as follows:

D:\Anaconda\envs\py36\python.exe D:\Desktop\ecg_learn\ecg-classification-master\python\run_train_SVM.py
Traceback (most recent call last):
File "D:\Desktop\ecg_learn\ecg-classification-master\python\run_train_SVM.py", line 54, in
main(multi_mode, 90, 90, do_preprocess, use_weight_class, maxRR, use_RR, norm_RR, compute_morph, oversamp_method, pca_k, feature_selection, do_cross_val, C_value, gamma_value, reduced_DS, leads_flag)
File "D:\Desktop\ecg_learn\ecg-classification-master\python\train_SVM.py", line 198, in main
scaler.fit(tr_features)
File "D:\Anaconda\envs\py36\lib\site-packages\sklearn\preprocessing_data.py", line 730, in fit
return self.partial_fit(X, y, sample_weight)
File "D:\Anaconda\envs\py36\lib\site-packages\sklearn\preprocessing_data.py", line 768, in partial_fit
force_all_finite='allow-nan', reset=first_call)
File "D:\Anaconda\envs\py36\lib\site-packages\sklearn\base.py", line 421, in _validate_data
X = check_array(X, **check_params)
File "D:\Anaconda\envs\py36\lib\site-packages\sklearn\utils\validation.py", line 63, in inner_f
return f(*args, **kwargs)
File "D:\Anaconda\envs\py36\lib\site-packages\sklearn\utils\validation.py", line 729, in check_array
context))
ValueError: Found array with 0 sample(s) (shape=(0, 59)) while a minimum of 1 is required by StandardScaler.
Runing train_SVM.py!
Loading pickle: ../../dataset/mitdb/m_learning/scikit/features/w_90_90_DS1_rm_bsline_maxRR_u-lbp_MLII.p...
Loading pickle: ../../dataset/mitdb/m_learning/scikit/features/w_90_90_DS2_rm_bsline_maxRR_u-lbp_MLII.p...
-------- []

Process finished with exit code 1

i hope i can get your help