DOC remove poisson criterion from ExtraTreeRegressor
@@ -1536,11 +1536,11 @@ class ExtraTreeRegressor(DecisionTreeRegressor):
Parameters
----------
- criterion : {"mse", "friedman_mse", "mae", "poisson"}, default="mse"
+ criterion : {"mse", "friedman_mse", "mae"}, default="mse"
The function to measure the quality of a split. Supported criteria
are "mse" for the mean squared error, which is equal to variance
- reduction as feature selection criterion, "mae" for the mean absolute
- error and "poisson" for the Poisson deviance.
+ reduction as feature selection criterion and "mae" for the mean
+ absolute error.
.. versionadded:: 0.18
Mean Absolute Error (MAE) criterion.
