fast_rgf
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Custom Loss function or MAE
Is it possible to use MAE or a custom loss function as the objective/loss function for this?
Examples of other tree based learners that do this or something similar are: https://github.com/dmlc/xgboost/blob/master/demo/guide-python/custom_objective.py https://github.com/Microsoft/LightGBM/blob/master/docs/Parameters.md#core-parameters http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html