parameter-tuning

A possible improvement of the time series smoothing operation is proposed. Below is example of applying smoothed operation

Currently, the implementation of smoothing allows modifying only the "features" time series (features field in InputData/OutputData). But it does not change the

Hello, thanks for the sorty library.
Would sorty provide a SortInterface(interface{}) funciton, which use reflect to determine the concrete type of parameter?
I think it's very convenient for the callers to call this SortInterface function without care about the concrete type to be sorted.

Thanks.

Describe the solution you'd expect
This issue is meant to guide and support people who want to add an external reference showcasing the usage of this package, these references will be shown here

You can add a blog post, a video, a kaggle notebook or an article. You can add the link of the content in the file d

The code doesn't allow you to optimize bool or string parameters, such as:

• “gini”, “entropy” at RandomForest "criterion" parameter.
• False, True at RandomForest "warm_start" paratemer