Add r_square values to the results of the fitting. #68
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mgeplf
reviewed
Feb 21, 2024
| xdata=xdata, | ||
| ydata=ydata, | ||
| sigma=sigma, | ||
| absolute_sigma=True, | ||
| ) | ||
|
|
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| return {"coefficient": parameters[0][0], "standard_deviation": np.sqrt(parameters[1][0][0])} | ||
| ss_reg = np.sum((_optimize_func(xdata, parameters[0][0]) - np.mean(ydata)) ** 2) |
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annoying we have to compute this ourselves.
mgeplf
approved these changes
Feb 21, 2024
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The coefficient of determination of a linear fitting can be used to assert its quality.
Coefficients of determinations of each fitting should be used for the validation of the pipeline. Especially, it is required to reproduce results of Rodarie et al. 2022.