Train a random forest using DecisionTrees on bootstrap samples using splits on random attributes and random values on those attributes. More...
Public Member Functions | |
def | train |
Public Attributes | |
learners | |
number_of_dimensions |
Train a random forest using DecisionTrees on bootstrap samples using splits on random attributes and random values on those attributes.
Definition at line 50 of file random_forest.py.
def ml_lib.random_forest.RFBreiman.train | ( | self, | |
dataset | |||
) |
Reimplemented from ml_lib.random_forest.RFBase.
Definition at line 51 of file random_forest.py.
Definition at line 51 of file random_forest.py.
Reimplemented from ml_lib.random_forest.RFBase.
Definition at line 51 of file random_forest.py.