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The Trueskill 2.0 paper came out a few months ago. It appears to be taking in game per players stats into account and includes quit penalties. There claim is much higher predictive power. It however doesn't appear to come with any source code. Is it possible to infer that steps necessary to implement?
The text was updated successfully, but these errors were encountered:
Yeah, I actually ended up porting the python version of the original paper over just to begin to understand the new paper. My version supports multiple teams and doesn't use the bag collection that yours does. Thought we might be able to decode the new paper together.
The Trueskill 2.0 paper came out a few months ago. It appears to be taking in game per players stats into account and includes quit penalties. There claim is much higher predictive power. It however doesn't appear to come with any source code. Is it possible to infer that steps necessary to implement?
The text was updated successfully, but these errors were encountered: