C3W2 Assignment error oct-2024

[Deepti_Prasad]

There are two threads which help you debug your create vectorizer codes and the dataset codes.

Both codes written by you were incorrect hence one of the unittest catched the error. Remember passing a test cell or able to run a model doesn’t mean your codes are correct always.

Your error clearly states the vocabulary it is looking for doesn’t exist with the codes you wrote.

C3W2_Assignment - fit_vectorizer

Now addressing to your code issue, I don’t know if you have referred the ungraded lab which tells you to use the same tf.keras.layers.TextVectorization as these codes were already given at the beginning of the codes. Now comes to adding other parameters to this Tokenizer class as per instruction, instruction mentions you to use vocab_size and assign tells you to use standardise_func, vocab_size and runcate the output sequences to have MAX_LENGTH length. Also not to forget emember to use the c…

C3W2 Expected output

In the preprocess data, basically there are 3 call arguments already assigned for this grade cell. one is dataset for you to preprocess next text_vectorizer which is function recall to convert your text data into vector and lastly label_encoder which you recalled in the previous grade cell will be used to encode data labels here in this cell, preparing your preprocess data to be model trained. You need to define this in single code line using map keys( ) to the argument dataset. Hope this r…

Let me know if you need further help.

Regards
DP