Examples

Some toy examples are shown in this section. To see the following code explained and executed in Jupyter Notebooks visit the GitHub repository where all notebooks are available or access through the following links.

• Using UMDAc for continuous optimization
• Using UMDAd for feature selection in a toy example
• Categorical optimization using EBNA and UMDAcat
• Building my own EDA implementation
• Using SPEDA for continuous optimization
• Using Multivariate KEDA for continuous optimization
• Using EGNA for continuous optimization
• Using EMNA for continuous optimization