scipy.optimize.leastsq Least Squares Regressor

A scipy.optimize.leastsq Least Squares Regressor is a scipy sub-module that is a least squares-based regressor.

• • …
• Counter-Example(s):
  • RLScore.
  • numpy.polyfit.
  • R lm.
• See: Non-Linear Least Squares System.

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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.

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