Description
There are two split criteria that are not included as regression criteria in sklearn: Axis projection in which one predictor is chosen at random to calculate MSE and Oblique projection in which outputs are projected onto a sparse line before splitting with MSE. More tests are being done to show when they perform differently than the existing criteria.
Enhancement
I plan to implement these two split criteria as subclasses to RegressionCriteria