ecg-classification
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mondejar
ValueError: Found array with 0 sample(s) (shape=(0, 59)) while a minimum of 1 is required by StandardScaler.
While running the run_train_SVM.py, the feature values do get computed, but not sure if they are getting added . train_SVM.py in main(multi_mode, winL, winR, 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) 195 # scaled: zero mean unit variance ( z-score ) 196 scaler = StandardScaler() --> 197 scaler.fit(tr_features) 198 tr_features_scaled = scaler.transform(tr_features)
I made changes and it's running for me now. Could have been the python 2.7 vs. python 3.7 issue. I don't recollect what all I had changed. It had many hard-coded paths too.
On Thu, Dec 12, 2019 at 11:16 PM guidogagl [email protected] wrote:
same issue for me, anyone solved it ?
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python 3.5 I suppose.
On Fri, Dec 13, 2019 at 10:35 AM NasimSulaiman [email protected] wrote:
In which python version did you run the code?
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I am using python 3.8 and this is the error i am getting File "C:\Program Files\Python36\lib\site-packages\sklearn\utils\validation.py", line 570, in check_array context)) ValueError: Found array with 0 sample(s) (shape=(0, 59)) while a minimum of 1 is required by StandardScaler.
(a, b) denotes the shape of data where a is number of rows and, b is the number of columns. (0,59) means there's no data being read.
Kindly check the lines where data is being read in LOAD_MITBIH.py and debug. You can might need to change the way it has been done. Finally delete all pickle files and run codes again.
This error means that your dataset is not loaded. You should check db_path variable from train_SVM.py, and update wherever you have downloaded the dataset.
