Closed ZmeiGorynych closed 2 months ago
Hi, the candidate splits are chosen extracting quantiles from each feature distribution: https://github.com/cerlymarco/linear-tree/blob/2982edc050206521fa9cde7df1b1f88ab7b2183d/lineartree/_classes.py#L336-L341
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Perfect, thanks a lot! I'm not using linear-tree directly right now, but am doing something very similar here, so just wanted to compare methodologies :)
Hi, let's say you're considering to split a node along a certain float-valued dimension. How do you choose the candidate split values (that is, the value to which you compare the column values to decide if they end up in the right or left subtree)? To choose among the candidates, you compare the error values - but how do you choose the candidates themselves?