I'm trying to use the data visualization feature in catboost - the one that visualizes training vs validation error (learning curve):
model.fit(X_train, y_train,cat_features=categorical_features_indices,eval_set=(X_val, y_val),verbose=False,plot=True)
I defined in fit method plot = True but no plot has shown up.
I also tried running the Catboost documentation example: https://catboost.ai/docs/features/visualization_jupyter-notebook.html#visualization_jupyter-notebook but it doesn't work either.
I'm using Jupyter notebook in Chrome.
