Closed gemorningsun closed 5 years ago
Well, I had the same error as you. Have you got the solution yet? @gemorningsun
shape=(0,23) shows that there is no data. I'll suggest that check whether the read data part and write pickle file part of the code is working correctly or not, you might want to change the way it's been done.
I faced the same problem. In my case it was reading annotations file as binary in load_MITBIH.py at line 528. I replaced 'rb' with 'r' and it worked.
I am having the same error , how to solve this !!!
I faced the same problem. In my case it was reading annotations file as binary in load_MITBIH.py at line 528. I replaced 'rb' with 'r' and it worked.
It worked for me. Thankful
Runing train_SVM.py! Loading MIT BIH arr (DS1) ... Computing morphological features (DS1) ... Wavelets ... labels writing pickle: /home/mjz/gzy/ecg-classification/python/ECG/mitbih_database/feat ures/w_90_90_DS1_rm_bsline_maxRR_wvlt_MLII.p... Loading MIT BIH arr (DS2) ... Computing morphological features (DS2) ... Wavelets ... labels writing pickle: /home/mjz/gzy/ecg-classification/python/ECG/mitbih_database/feat ures/w_90_90_DS2_rm_bsline_maxRR_wvlt_MLII.p... Traceback (most recent call last): File "run_train_SVM.py", line 54, in
main(multi_mode, 90, 90, do_preprocess, use_weight_class, maxRR, use_RR, nor m_RR, compute_morph, oversamp_method, pca_k, feature_selection, do_crossval, C value, gamma_value, reduced_DS, leads_flag)
File "/home/mjz/gzy/ecg-classification/python/train_SVM.py", line 195, in main
scaler.fit(tr_features)
File "/home/mjz/anaconda3/lib/python3.5/site-packages/sklearn/preprocessing/da ta.py", line 590, in fit
return self.partial_fit(X, y)
File "/home/mjz/anaconda3/lib/python3.5/site-packages/sklearn/preprocessing/da ta.py", line 612, in partial_fit
warn_on_dtype=True, estimator=self, dtype=FLOAT_DTYPES)
File "/home/mjz/anaconda3/lib/python3.5/site-packages/sklearn/utils/validation .py", line 431, in check_array
context))
ValueError: Found array with 0 sample(s) (shape=(0, 23)) while a minimum of 1 is required by StandardScaler.