Hello,
I’m attempting to complete the audio classification tutorial. I got tot he model testing phase and realized my model had only 60% accuracy so I added more training data. I first tried to click on the “Retrain model” tab then “Train model.” That gives me this error:
Creating job… OK (ID: 189109)
Retraining MFCC…
Cannot start job. There already is a job with key “dsp-3” running.
Job failed (see above)
I also tried to go back to the Impulse design section to retrace my steps and try to run the model again there. Then I got this error:
Creating job... OK (ID: 189110) Copying features from processing blocks... Copying features from processing blocks OK Training model Job started Traceback (most recent call last): File "/home/train.py", line 245, in <module> X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2, random_state=RANDOM_SEED) File "/usr/local/lib/python3.7/site-packages/sklearn/model_selection/_split.py", line 2096, in train_test_split arrays = indexable(*arrays) File "/usr/local/lib/python3.7/site-packages/sklearn/utils/validation.py", line 230, in indexable check_consistent_length(*result) File "/usr/local/lib/python3.7/site-packages/sklearn/utils/validation.py", line 205, in check_consistent_length " samples: %r" % [int(l) for l in lengths]) ValueError: Found input variables with inconsistent numbers of samples: [2364, 6000] Application exited with code 1 (Error) Job failed (see above)
Any ideas on how I might be able to fix this issue? Thanks!