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docs: Docstring for fits.least_square extended.
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@ -6,6 +6,9 @@ __pycache__
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.cache
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examples/B1k2_pcac_plateau.p
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examples/Untitled.*
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examples/pcac_plateau_test_ensemble.json.gz
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core.*
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*.swp
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htmlcov
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build
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pyerrors.egg-info
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@ -95,7 +95,8 @@ def least_squares(x, y, func, priors=None, silent=False, **kwargs):
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If true all output to the console is omitted (default False).
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initial_guess : list
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can provide an initial guess for the input parameters. Relevant for
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non-linear fits with many parameters.
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non-linear fits with many parameters. In case of correlated fits the guess is used to perform
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an uncorrelated fit which then serves as guess for the correlated fit.
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method : str, optional
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can be used to choose an alternative method for the minimization of chisquare.
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The possible methods are the ones which can be used for scipy.optimize.minimize and
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