Hi there,
I've read your paper and it was the first I encountered targeting specifically PU Learning, which I find the most common in my domain (I'm a PhD student in energy engineering). First of all, let me say thanks for the very interesting paper.
I was wondering if there is a quickstart resource or documentation on how to use PU-SHRF?
I have not coded any custom solutions for use with scikit-learn, but through a cursory glance at the available code, I see that work for integrating PU-SHRF has to some extent already been done to get the published results. I was hoping for a starting point and/or a quickstart guide working through a trivial case step by step, from which I can build around to an actual latest case. Is that possible or already available somewhere?
Many thanks in advance!
Hi there,
I've read your paper and it was the first I encountered targeting specifically PU Learning, which I find the most common in my domain (I'm a PhD student in energy engineering). First of all, let me say thanks for the very interesting paper.
I was wondering if there is a quickstart resource or documentation on how to use PU-SHRF?
I have not coded any custom solutions for use with scikit-learn, but through a cursory glance at the available code, I see that work for integrating PU-SHRF has to some extent already been done to get the published results. I was hoping for a starting point and/or a quickstart guide working through a trivial case step by step, from which I can build around to an actual latest case. Is that possible or already available somewhere?
Many thanks in advance!