14 January 2019 at 19:20
To: "computer-go@computer-go.org"
Cc: Simon Lucas
Subject: Re: [Computer-go] Efficient Parameter Tuning Software
Hi Simon,
Thanks for sharing. In my opinion, apart from discretizing the search space,
the N-Tuple system takes a very intuitive approach to hyper-par
Hi Simon,
Thanks for sharing. In my opinion, apart from discretizing the search
space, the N-Tuple system takes a very intuitive approach to
hyper-parameter optimization. The github repo readme notes you're working
on an extended version to handle continuous parameters, what's your general
Hi all,
The N-Tuple Bandit Evolutionary Algorithm aims
to provide sample-efficient optimisation, especially
for noisy problems.
Software available in Java and Python:
https://github.com/SimonLucas/ntbea
It also provides stats on the value of each parameter setting
and combinations of settings.
