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Currently autograder accepts only one kind of submissions -- ipynb notebooks-- , and it finds the metadata inside of the ipynb file.
There are use cases for the autograder where the submission is not a notebook:
-- Submitting HDF5 (h5) model files created by Keras (important in courses related to Machine Learning)
-- Submitting stand-alone python scripts (important in Python courses to teach students to use stand-alone scripts)
Since the server requires metadata to match a submission to the assignment, the upload server should be extended to support taking the metadata in addition to the submission file upload.
There are a few options for inferring metadata:
The upload form can take additional input parameters, which could be provided by a form or as a hidden form input at the client side.
Upload file name could serve as a key in metadata lookup, where the metadata is stored on the server in advance
Upload URLs can encode metadata key inside (i.e. the upload URL is different for each assignment)
The text was updated successfully, but these errors were encountered:
Currently autograder accepts only one kind of submissions -- ipynb notebooks-- , and it finds the metadata inside of the ipynb file.
There are use cases for the autograder where the submission is not a notebook:
-- Submitting HDF5 (h5) model files created by Keras (important in courses related to Machine Learning)
-- Submitting stand-alone python scripts (important in Python courses to teach students to use stand-alone scripts)
Since the server requires metadata to match a submission to the assignment, the upload server should be extended to support taking the metadata in addition to the submission file upload.
There are a few options for inferring metadata:
The text was updated successfully, but these errors were encountered: