This issue is a feature request, it aims to tune the hyper-parameters for the algorithm initially which is used in the project. For example, if you use k-means clustering, then there are multiple hyper-parameters for the algorithm, they should be selected in a way by which the result is best.
This is just for the initial tuning of parameters for the algorithm, so that, at the initial level, we have the best results. When the project is completed, then the complete optimization will take place, for which there is a separate issue.
This issue is a feature request, it aims to tune the hyper-parameters for the algorithm initially which is used in the project. For example, if you use k-means clustering, then there are multiple hyper-parameters for the algorithm, they should be selected in a way by which the result is best.
This is just for the initial tuning of parameters for the algorithm, so that, at the initial level, we have the best results. When the project is completed, then the complete optimization will take place, for which there is a separate issue.