Hi all,
I wanted to discuss the way in which this project markets itself.
scikits-learn - Classic machine learning algorithms - Provide simple an
efficient solutions to learning problems, scikit-learn.org/stable/
>From here:
http://www.kdnuggets.com/2012/11/best-python-modules-for-data-mining.html
This pretty much mirrors what is on the site.
Is "classic" the best term to use here? To me, this makes it sounds like we
only have algorithms developed pre 1990 (or earlier!).
In fact, we have quite a diverse set of algorithms, including some newer
algorithms (such as the ensembles etc).
I know, and agree, that we do not implement cutting edge algorithms as a
rule in this package, particularly if they aren't used widely.
However, I think that by using the term classic, we are making the library
sound like a novelty rather than the powerful package we all know it is.
I see this package as being a "base package" for machine learning, in much
the same way numpy is a "base package" for any numerical calculation with
python.
Thoughts?
Robert
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