Hi Sheila.I think we don't have a function for this because it seems pretty easy to do yourself.
That might be also true for "Scaler" and "Normalizer", though. You can just subtract the minimum and divide by the max-min to get [0, 1] features and then go from there. We could actually add something to do this. Cheers, Andy
On 09/04/2012 04:04 PM, Sheila the angel wrote:
Hello All, Another short question, How to scale data features to a given range? For example I want to scale my data features to [-1, +1] or [0,100] . sklearn.preprocessing don't have any direct function for this !! Thanks -- Sheila ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
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