scikit-datasmooth

scikits.datasmooth repository

BSD-3-CLAUSE License

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datasmooth 0.7.1

This is a scikit intended to include numerical methods for smoothing data. Currently, only a regularization method is available here, which includes cross-validation for determining the optimization parameter. Constrained smoothing is also availalbe but requires the cvxopt package.

Contributions of other smoothing methods are welcome. Note that smoothing splines (which is similar to smoothing by regularization) are available in scipy.interpolate.

Credits

  • Jonathan J Stickel wrote the initial code to implement smoothing by
    regularization
  • Tony S Yu rewrote the code using object classes.

References

Comput. Chem. Eng. (2010) 34, 467 http://dx.doi.org/10.1016/j.compchemeng.2009.10.007

Installation from sources

In the parent directory (the same as the file you are reading now), just do:

python setup.py install

Distribution

Pypi

Source distributions are available for download at:

http://pypi.python.org/pypi/scikit.datasmooth