There is currently a streamlit-based page, that documents the optimization algorithms of Gradient-Free-Optimizers and Hyperactive in this repository. This page is still in early development and I'll wait for improved multipage support to finish this tutorial.
However originally I wanted this streamlit-based optimization-tutorial to give api information about the optimizers and its parameters, but I will move this to a static page that is more suited for documentation.
The streamlit-based optimization-tutorial in this repository will be developed into an interactive dashboard, that focuses on visualizations to inform the user about the strengths and weaknesses of the different optimization-algorithms.
Therefore there will be two pages in the future:
A static documentation to look up API information. (fast and simple)
An interactive dashboard with plots and other visualizations. (more computationally intensive)
There is currently a streamlit-based page, that documents the optimization algorithms of Gradient-Free-Optimizers and Hyperactive in this repository. This page is still in early development and I'll wait for improved multipage support to finish this tutorial.
However originally I wanted this streamlit-based optimization-tutorial to give api information about the optimizers and its parameters, but I will move this to a static page that is more suited for documentation.
The streamlit-based optimization-tutorial in this repository will be developed into an interactive dashboard, that focuses on visualizations to inform the user about the strengths and weaknesses of the different optimization-algorithms.
Therefore there will be two pages in the future: