glidertools.calibration.model_figs

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