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Take the example from Section 1.1 and 1.2 from the ortho forest notebook: https://github.com/microsoft/EconML/blob/master/notebooks/Orthogonal%20Random%20Forest%20Examples.ipynb
When T is a vector of (n,), then the effect(X) of the ContinuousOrthoForest returns a (n, 1) vector.
When T is (n, 2) (e.g. if we just duplicate T in cell 6) then effect(X) correctly a (n,) vector.
When T is (n, 1) (e.g. if we reshape T in cell 6) it runs super slow and had to be cancelled.
The text was updated successfully, but these errors were encountered:
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Take the example from Section 1.1 and 1.2 from the ortho forest notebook:
https://github.com/microsoft/EconML/blob/master/notebooks/Orthogonal%20Random%20Forest%20Examples.ipynb
When T is a vector of (n,), then the effect(X) of the ContinuousOrthoForest returns a (n, 1) vector.
When T is (n, 2) (e.g. if we just duplicate T in cell 6) then effect(X) correctly a (n,) vector.
When T is (n, 1) (e.g. if we reshape T in cell 6) it runs super slow and had to be cancelled.
The text was updated successfully, but these errors were encountered: