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Commit b93b825b authored by Michele Nottoli's avatar Michele Nottoli
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Changed the default value for the regularization.

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......@@ -51,7 +51,7 @@ This is an up to date list of available keyword options:
- `store_overlap`: bool, default True. Store the overlaps for later usage in calling guess without passing the current overlap. It can be disabled for performance, but calling guess will require passing the overlap.
Some options can be piped to the fitting modules.
- `fitting_regularization`: float, default 0.0. Controls the regularization for both the "leastsquare" and "qtr" fitting schemes. In both the fitting schemes, an additional term of the form $\varepsilon^2 ||\alpha||^2$ is added to the error function, in this expression $\alpha$ is the vector of coefficients and $\varepsilon$ is the regularization.
- `fitting_regularization`: float, default 0.001. Controls the regularization for both the "leastsquare" and "qtr" fitting schemes. In both the fitting schemes, an additional term of the form $\varepsilon^2 ||\alpha||^2$ is added to the error function, in this expression $\alpha$ is the vector of coefficients and $\varepsilon$ is the regularization.
## Acknowledgments
......
......@@ -46,7 +46,7 @@ class LeastSquare(AbstractFitting):
"""Simple least square minimization fitting."""
supported_options = {
"regularization": 0.0,
"regularization": 1e-3,
}
def set_options(self, **kwargs):
......@@ -73,7 +73,7 @@ class QuasiTimeReversible(AbstractFitting):
"""Quasi time reversible fitting scheme."""
supported_options = {
"regularization": 0.0,
"regularization": 1e-3,
}
def set_options(self, **kwargs):
......
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