scipy.optimize.leastsq Least Squares Regressor
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A scipy.optimize.leastsq Least Squares Regressor is a scipy sub-module that is a least squares-based regressor.
- …
- Counter-Example(s):
- See: Non-Linear Least Squares System.
References
2013
- http://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.optimize.leastsq.html
- scipy.optimize.leastsq(func, x0, args=(), Dfun=None, full_output=0, col_deriv=0, ftol=1.49012e-08, xtol=1.49012e-08, gtol=0.0, maxfev=0, epsfcn=None, factor=100, diag=None)[source]
Minimize the sum of squares of a set of equations. ...
...“leastsq” is a wrapper around MINPACK’s lmdif and lmder algorithms.
- scipy.optimize.leastsq(func, x0, args=(), Dfun=None, full_output=0, col_deriv=0, ftol=1.49012e-08, xtol=1.49012e-08, gtol=0.0, maxfev=0, epsfcn=None, factor=100, diag=None)[source]