Lucas Maystre
Lucas Maystre
@EvanZ logistic regression assumes that there's a single, static skill parameter for every player. TTT assumes that the player's skill can change over time. This is orthogonal to the fact...
In case anyone's interested, I have forked the original TTT code (written in F#) with some instructions on how to run it on a modern Linux system: https://github.com/lucasmaystre/chessanalysis
Hi all, I have just publicly released a Python package for estimating time-varying skills based on the entire history of matches. It can be thought of as an extension of...
Hi @amirbachar thank you for the suggestion. Note that most functions have a parameter `alpha` that controls regularization. it is off (i.e., equal to 0.0) by default in most functions,...
Hi @Feuermurmel thanks for the report. I will look into this as soon as I get a chance.
Hi @usptact , thanks for your interest! Unfortunately that is not possible with `choix` at this time. I'll leave the issue open, maybe at some point I'll get around implementing...
Hi Sarah, can you share the files & the exact command invocation that you are using?
Hi Sarah, thanks. I could indeed reproduce the bug (both with sparse and dense text input). The result of `U^T dot V` gives something close to 1 -1 0 -1...
Hi Sarah, I am on a 64 bit platform. My GCC is in fact symlinked to `clang` (`Apple LLVM version 10.0.1 (clang-1001.0.46.3)`). I get the exact same results you posted...
The dense identity matrix does not work for me - it produces the same result as the one you sent 3 days ago (whether the format is *dense* or *sparse*).