xai | XAI - An eXplainability toolbox for machine learning | Machine Learning library

I would like to count how many ads there are in this website: https://www.lastampa.it/?refresh_ce

I am using BeautifulSoup to do this. I would need to extra info within the following:

I am trying to create a main page with 2 buttons in React.js: Option 1 and Option 2. If a user clicks on Option 1, this user should be redirected to Main1 page. If he/she clicks on Option 2, then this user is redirected to Main2. Sounds quite simple, but I get the following error:

I'm having two pre-trained models. Assume those are model_A and model_B. Here, the model_A is a CNN + LSTM network and model_B is a GCN.

Model_A:

Model_A requires 1 input as below. X_in = Input(shape=(None, 150), name='X_in', dtype=int32)

Model_B:

Model_B requires 3 inputs as below. X_in = Input(shape=(X_train_B[0].shape[-1], ), name='X_in', dtype=tf.float64) A_in = Input(shape=(None,), sparse=True, dtype=tf.float64) I_in = Input(shape=(), name='segment_ids_in', dtype=tf.int32)

I need to merged these two models by getting the output of the layer before the last layer. Below is how I defined the new model.

I'm creating a signed PDF by code and I receive this error for some reason:

At least one signature is invalid - Document has been altered or corrupted since it was signed

I used DSS attribute with VRI, Certs and CRLs. The important mention is that I use versions as I saw on other articles that talk about this procedure. So I have the signature in the first part (with Contents<> and ByteRange[]) and the DSS with his children in the second part. I noticed that if I remove the second generated part, Adobe Acrobat gives me the:

Signed and all signatures are valid

Therefore I'm assuming that the Contents/ByteRange works well and the problem arise when Acrobat tries to verify the signature with the informations from the second part.

Here are both samples:

Only the first part (second removed manually after creation)