glidertools.calibration.model_figs¶
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glidertools.calibration.
model_figs
(bottle_data, glider_data, model, ax=None)¶ Creates the figure for a linear model fit.
Parameters: - bottle_data (np.array, shape=[m, ]) – bottle data with the number of matched bottle/glider samples
- glider_data (np.array, shape[m, ]) – glider data with the number of matched bottle/glider samples
- model (sklearn.linear_model object) – a fitted model that you want to test.
Returns: figure axes – A figure showing the fit of the
Return type: matplotlib.Axes