alan-turing-institute / learning-machines-drift

A Python package for monitoring dataset drift in secure environments
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Make initial visualisation class #25

Closed sgreenbury closed 1 year ago

sgreenbury commented 2 years ago

Make a class to plot the scores from a returned hypothesis tests dict.

For example, function could be like:

def visualise(dict_of_variables: dict[str, dict[str, float]]) -> plt.axes:
    ...

Plot should have x-axis as keys of dict and y-axes as score values in the dict from key.