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Scikits data smoothing package
Homepage Repository PyPI Python
pip install scikits.datasmooth==0.61
=============== datasmooth 0.61 =============== 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 directory example (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/scikits.datasmooth
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