Public Member Functions | Public Attributes
ml_lib.random_forest.RFRandomInputSubset Class Reference

Train a random forest using DecisionTrees on bootstrap samples where each sample has a random subset of dimensions but the split point is performed using a minimum entropy criteria. More...

Inheritance diagram for ml_lib.random_forest.RFRandomInputSubset:
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List of all members.

Public Member Functions

def train
def transform_input

Public Attributes

 learners
 number_of_dimensions

Detailed Description

Train a random forest using DecisionTrees on bootstrap samples where each sample has a random subset of dimensions but the split point is performed using a minimum entropy criteria.

Definition at line 70 of file random_forest.py.


Member Function Documentation

def ml_lib.random_forest.RFRandomInputSubset.train (   self,
  dataset 
)

Reimplemented from ml_lib.random_forest.RFBase.

Definition at line 71 of file random_forest.py.

def ml_lib.random_forest.RFRandomInputSubset.transform_input (   self,
  input,
  tree = None 
)

Definition at line 89 of file random_forest.py.


Member Data Documentation

Definition at line 71 of file random_forest.py.

Reimplemented from ml_lib.random_forest.RFBase.

Definition at line 71 of file random_forest.py.


The documentation for this class was generated from the following file:


ml_lib
Author(s): haidai
autogenerated on Wed Nov 27 2013 11:46:34