You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hello, I think you've done a great job at context-setting, and a fantastic work of pulling all of these algorithms together in one single, consistent API. On top of that, the docs are delightful.
Minor typo in the second paragraph of the statement of need: ``arms". is started with a double backtick and finishes with double quotes.
Just after that, I believe there's a missing "be": just before "infeasible" in the following statement Therefore, directly applying multi-armed bandit algorithms to such problems would infeasible
The Quick Example section in the Readme could be made a bit more specific and self-evident by including the specific imports used in it.
Love the real world example - if I were to add anything here, it would be a comparison with other algorithms commonly used for hyperparameter tuning (time, optimality)
Overall fantastic job, well done!
The text was updated successfully, but these errors were encountered:
Hello, I think you've done a great job at context-setting, and a fantastic work of pulling all of these algorithms together in one single, consistent API. On top of that, the docs are delightful.
a few minor things from the paper review, relating to openjournals/joss-reviews#6507:
``arms".
is started with a double backtick and finishes with double quotes.Therefore, directly applying multi-armed bandit algorithms to such problems would infeasible
Overall fantastic job, well done!
The text was updated successfully, but these errors were encountered: