grading_tools 0.21.3

Tools for evaluating student submissions.

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.

Contributing

This package uses Python Semantic Release, so all commit messages must follow the Angular format.