Tools for evaluating student submissions.
Project description
Grading Tools
This library allows you to compare student submissions to an answer, and provide
meaningful feedback. It currently accommodates basic Python data structures, pandas
Series and DataFrames, scikit-learn
models, and images.
Installation
$ pip install grading-tools
Usage
>>> from grading_tools.graders import PythonGrader
>>> sub = {"snake": "reptile", "frog": "reptile"}
>>> ans = {"snake": "reptile", "frog": "amphibian"}
>>> g = PythonGrader(sub, ans)
>>> g.grade_dict()
>>> g.return_feedback(html=False)
{
'score': 0,
'passed': False,
'comment': "The value for the key `frog` doesn't match the expected result."
}
License
grading-tools
was created by
Nicholas Cifuentes-Goodbody at
WorldQuant University. It is not currently licensed for reuse of
any kind.
Project details
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