Train a random forest using DecisionTrees on bootstrap samples using splits on random attributes and random values on those attributes. More...
Inheritance diagram for ml_lib.random_forest.RFBreiman:
Public Member Functions | |
| def | train |
Public Attributes | |
| learners | |
| number_of_dimensions | |
Detailed Description
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.
Member Function Documentation
| 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.
Member Data Documentation
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.
The documentation for this class was generated from the following file: