Your onestop optimizer package that implements Binary versions of Bayesian optimization and Particle Swarm optimization reusing existing libraries for use cases of model selection and feature selection.
The algorithms implemented are
💥 Bayesian Optimization
⭐ Bayesian Optimization with Warm start.
❗ Particle swarm opitmization
⭐ Simulated Annealing
More additions are welcome. Please raise an issue or implement and feel free to submit a PR
Only two lines of code are necessary to run the trials and get the best set of features or best way to combine models.
Take a look at examples code to see how to use various algorithms. Please update config.toml with the right algorithm you want to use. This is a work in progress watch out for more fetures and algorithms
Install requirements before running the example pip install -r requirements.txt