Hello Ruchika,
I don't think that scikit-learn currently has algorithms that can train
with positive and unlabeled class labels only. However, you could try
one of the following compatible wrappers,
-
http://nktmemo.github.io/jekyll/update/2015/11/07/pu_classification.html
- https://github.com/scikit-learn/scikit-learn/pull/371
(haven't tried them myself).
Also, you could try one class SVM as suggested here
https://stackoverflow.com/questions/25700724/binary-semi-supervised-classification-with-positive-only-and-unlabeled-data-set
--
Roman
On 30/06/17 16:06, Ruchika Nayyar wrote:
Hi All,
I am a scikit-learn user and have a question for the community, if
anyone has applied any available machine learning algorithms in the
scikit-learn package for data with positive and unlabeled class only? If
so would you share some insight with me. I understand this could be a
broader topic but I am new to analyzing PU data and hence can use some
help.
Thanks,
Ruchika
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