Behzad Rowshanravan

Silencing EstimatorSelectionHelper() output during fit

1

Would it be possible to provide an argument for the `EstimatorSelectionHelper()` in order to silence its output (I use Jupiter-notebook) during fit procedure? I was thinking something along the lines...

I was wondering if you have any plans to include the learned `best_estimator_` attribute for your `EstimatorSelectionHelper()` function? This will allow using the calculated best estimator and its corresponding hyper-parameters...

I am trying to run the below code (in Jupyter-notebook) using `networkx==2.4` and `nxpd==0.2.0` ```python import networkx as nx import nxpd from nxpd import draw from nxpd import nxpdParams nxpdParams["show"]...

grid.best_estimator_.get_params() vague selected_model output

5

In my [example code](https://github.com/bmurauer/pipelinehelper/issues/7#issuecomment-663415626) `GaussianNB()` was selected as the best estimator however it seems like the selected_model output from `grid.best_estimator_.get_params()` does not reflect this, although I have instantiated it as...