2013/7/7 Anubhab Baksi <anubha...@gmail.com>: > Hi, > I searched for several Data Compression codes in Scikit learn, but I could > not find it. > > Now, can anybody please tell me, are these really implemented?
I am not sure what you really mean by such a generic term as "Data Compression" but if this is a name for a specific machine learning algorithm then it is not implemented in scikit-learn. BTW most machine learning models can be interpreted as doing some sort of lossy training set compression but the purpose is generally not to be able to "uncompress" the model later to recover the training set but rather to use the statistical summary of the training set to be able to make useful predictions on any future test set assuming they share the same statistical distribution. If you are interested in lossless compression algorithms in Python then you should rather use the gzip or bz2 modules of the standard lib: http://docs.python.org/2/library/archiving.html -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ This SF.net email is sponsored by Windows: Build for Windows Store. http://p.sf.net/sfu/windows-dev2dev _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
