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Bayesian Optimization and Design of Experiments
A small user guide mentioning userfacing environment variables based on #226 rendered version on fork: https://scienfitz.github.io/baybe-dev/userguide/envvars.html
This PR introduces different tox commands for the three key parts of doc building (linkcheck, examples and actual build) and separates the previously used large file in several smaller ones....
This PR introduces the first version of the planned callable object. Key details: - This version implements the callable exclusively for the pure recommenders. - The callable is an optional...
This issue is intended to serve as a place where minor visual issues regarding the documentation can be collected. Once enough such have been identified, they will be resolved in...
This PR implements a breaking change by refactoring the recommender signature such that: * it accepts an optional `Objective` * it expects training data as a single dataframe in experimental...
This PR fixes #218 by adding a context manager that allows running simulations without altering the state of the global random number generators.
In response to #223 Added - utility to convert a float number indicating the byte size of an object into a human readable format with unit - utility to estimate...
I was surprised to learn BayBE includes telemetry so deep in the project. It's uncomfortable importing a package that talks to the internet. Since > "BayBE collects anonymous usage statistics...
