TypeError with "fit" function within the "UnwrapperClassifier" function about aletheia HOT 4 OPEN

Hi,

It seems to be related to the mismatch of your X_train and weights, i.e., the number of input features (X_train.shape[1]) does not match the number of rows of the first hidden layer weights (weights[0].shape[0]).

from aletheia.

Another possible reason is that if your response varable y has more than one column, then you will also get an error. Currently, the package only supports binary classification.

from aletheia.

Hi,

Thanks so much for your solution! I was able to solve that error by matching all the dimensions within the weights of the hidden layers.
But I am receiving another error as seen here:

I am using the "UnwrapperClassifier" on a CNN based network, but all the input values have been vectorized. I am not sure what formatting error is being recognized.
Looking forward to hearing from you!

from aletheia.

That is because your weight list and bias list have different lengths.

from aletheia.