Re: [scikit-learn] scikit-learn Digest, Vol 12, Issue 18

2017-03-11 Thread Gautam Borad
On 11 Mar 2017 22:32, wrote: > Send scikit-learn mailing list submissions to > scikit-learn@python.org > > To subscribe or unsubscribe via the World Wide Web, visit > https://mail.python.org/mailman/listinfo/scikit-learn > or, via email, send a message with subject or body 'help'

[scikit-learn] issue suggestion - decision trees - GSoC

2017-03-11 Thread Konstantinos Katrioplas
Hello all, While I am waiting for the PR that I have submitted to be evaluated (https://github.com/scikit-learn/scikit-learn/pull/8563), would you suggest another (easy) issue for me to work on? Ideally something for which I will write some substantial code, so as to present it in my applicat

[scikit-learn] Label encoding for classifiers and soft targets

2017-03-11 Thread Javier López Peña
Hi there! I have been recently experimenting with model regularization through the use of soft targets, and I’d like to be able to play with that from sklearn. The main idea is as follows: imagine I want to fit a (probabilisitic) classifier with three possible targets, 0, 1, 2 If I pass my tr