-
Notifications
You must be signed in to change notification settings - Fork 6
scikits.datasmooth repository
License
jjstickel/scikit-datasmooth
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
================ 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
About
scikits.datasmooth repository
Resources
License
Stars
Watchers
Forks
Packages 0
No packages published