Hey,
I have this waveform predicted:
Why when I add this code:
a = np.random.normal(mean, stdv, error_noise.shape[0])
test_predict[0] = test_predict[0] + a[0]
The output result is the following:
a will a vector of length error_noise.shape[0] which will be the same length as test_predict
When you do,
test_predict[0] = test_predict[0] + a[0]
You’re taking the first element of the test_predict vector and adding the first element of the a vector which is why only the very first element changes. If you want to add all of a to test_predict just do,
test_predict = test_predcit + a