Is there a way to make this user defined? I am using Rocket which by default creates 20K features (convolutional kernels). Using a linear model works well for this and wanted to see how mljar performs. I could hack the code but would be great to have a setting to remove the constraint if possible.
Hi, In this section of code there appears to be a constraint on the number of rows and columns used for the Linear model:
https://github.com/mljar/mljar-supervised/blob/013094ece2d4f76411fd5a014946ab1c7d31842c/supervised/base_automl.py#L738
Is there a way to make this user defined? I am using Rocket which by default creates 20K features (convolutional kernels). Using a linear model works well for this and wanted to see how mljar performs. I could hack the code but would be great to have a setting to remove the constraint if possible.