Unittest failed in c3w3

[AimanManiyar]

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[Deepti_Prasad]

see if this explanation helps

c3Week3 fit_vectorizer gives AttributeError: 'NoneType' object has no attribute 'vocabulary_size

please post screenshot of the error without posting any grade cell codes. Also confirm if your query is from week 3 or week 2 the fit vectorizer required one to instantiate tokenizer class using TextVectorization function and use the standardize as well as assign MAX_LEN(max length) to the output sequence length, to make sure when the vectorizer was adapt to fit the sentences, the desired vocabulary size is selected.

remember when test result which you have got shows a different results than the expected, chances are that you might have used global variables instead of local variables.

Also remember you are only suppose to right codes as per instructions already given to you and not hard code the other to recall functions.

[AimanManiyar]

image removed by moderator as it contained grade cell codes which grades your assignment. avoid posting codes, links to assignment as it is against community guidelines
I am not able to resolve the issue

[Deepti_Prasad]

please don’t post codes on pubic post, it is against community guidelines.

You are not following code instructions explanation given before the grade cells, which clearly mentions what parameters to be used while instantiating TextVectorization class.

you were suppose to use only standardized and output sequence length for the text vectorization class.

I also noticed you have added an extra code line before instantiating the textvectorozation class.

You are not suppose to add any extra code line other than what instructions were already given. changing, deleting, adding anything in the assignment either causes failed test results or failed grader submission.

I am sharing an image of how the grade cell fit vectorizer looks without codes and also read the instructions given before the grade cell to help you compare my response to your codes which will help you in debugging.

[AimanManiyar]

based on your suggestion I used only standardized and output sequence length for the text vectorization class

[Deepti_Prasad]

For code line

Fit the tokenizer to the training sentences

and the argument you need to use for training sentences is dataset and not train_sentences

    Args:
        dataset (tf.data.Dataset): Tensorflow dataset with training sentences.

[AimanManiyar]

It is resolved now. Thank you @Deepti_Prasad