Performing Split on Node with Perfect Results about linear-tree HOT 1 CLOSED

Hi thanks for your feedback.

This is not the intended behavior. The splits are computed until there is utility (as you can see from the source code).

I try to reproduce a similar case where I build a LinearTreeRegressor on this data:

The fitted model results in:

In node1 there is no utility in splitting so it is considered as a leaf. It's evident also by looking at the prediction on the training set:

Maybe in your case, the loss of node1 is not exactly 0 (in the plot it's rounded).

Here the running notebook.

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EDIT:
This is may also due to the numeric precision of your environment... where a loss of (for example) 5.429976129669105e-29
is not equal to 0.0 so the tree continues to grow. This is automatically limited (setting a fixed rounding precision) in lineartree>=0.3.4

from linear-tree.