C1_w4 Grader error

Course Q&A Natural Language Processing NLP with Classification and Vector Spaces
1

i completed and passed for 10/11 but after grading its zero.
not single questain get marks
showing the grader output as:
There was a problem grading your submission. Check stderr for more details.

2

Do you still need help with this ?

3

i completed and passed for 7/8 but after grading its zero.
not single questain get marks
showing the grader output as:
There was a problem grading your submission. Check stderr for more details.

4

Hi @fateme_zarin,

At the start of the notebook there’s:

Important Note on Submission to the AutoGrader

Before submitting your assignment to the AutoGrader, please make sure you are not doing the following:

  1. You have not added any extra print statement(s) in the assignment.
  2. You have not added any extra code cell(s) in the assignment.
  3. You have not changed any of the function parameters.
  4. You are not using any global variables inside your graded exercises. Unless specifically instructed to do so, please refrain from it and use the local variables instead.
  5. You are not changing the assignment code where it is not required, like creating extra variables.

If you do any of the following, you will get something like, Grader Error: Grader feedback not found (or similarly unexpected) error upon submitting your assignment. Before asking for help/debugging the errors in your assignment, check for these first. If this is the case, and you don’t remember the changes you have made, you can get a fresh copy of the assignment by following these instructions.

Look for one (or more) of these listed things and fix it, it should work then.

Best,
Mubsi

5

Thank you for your reply. I wrote the page several times from scratch and did not add or subtract anything, but I don’t know why it gives an error even though my output is the same as the requested output.

6

Hi @fateme_zarin,

There are several things wrong in your assignment, which are in violation of the one or more of the 5 points listed above.

for example, Ex 7, taken from your notebook:

import numpy as np

def get_document_embedding(tweet, en_embeddings):

and this is Ex 7, as provided by us:

# UNQ_C12 (UNIQUE CELL IDENTIFIER, DO NOT EDIT)
def get_document_embedding(tweet, en_embeddings, process_tweet=process_tweet):

As you can see, you have not only removed the unique cell identifier which clearly says do not edit next to it, you have also changed the function parameters.

Please get yourself a fresh copy of the notebook, and this time, do start you work from scratch, unlike the claim you have made before.

Thanks,
Mubsi