ml_lib.random_forest.RFBase Class Reference

Base class for random forest classifier. More...

Inheritance diagram for ml_lib.random_forest.RFBase:

List of all members.

Public Member Functions
def	__init__
def	avg_tree_depth
def	predict
def	train
Public Attributes
	number_of_dimensions
	number_of_learners

---

Detailed Description

Base class for random forest classifier.

Definition at line 13 of file random_forest.py.

---

Constructor & Destructor Documentation

def ml_lib.random_forest.RFBase.__init__	(		self,
			dataset = None,
			number_of_dimensions = None,
			number_of_learners = 100
	)

Parameters:

dataset	Dataset object
number_of_dimensions	unclear which direction, but should be around 10-20% of original data dimension
number_of_learners	limited by processor performance, higher is better

Definition at line 20 of file random_forest.py.

---

Member Function Documentation

def ml_lib.random_forest.RFBase.avg_tree_depth

(

self

)

Definition at line 42 of file random_forest.py.

def ml_lib.random_forest.RFBase.predict	(		self,
			data,
			vote_combine_function = None
	)

Parameters:

data
vote_combine_function	function to combine votes, by default returns the label with the most votes

Definition at line 30 of file random_forest.py.

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

Reimplemented in ml_lib.random_forest.RFRandomInputSubset, and ml_lib.random_forest.RFBreiman.

Definition at line 39 of file random_forest.py.

---

Member Data Documentation

ml_lib::random_forest.RFBase::number_of_dimensions

Reimplemented in ml_lib.random_forest.RFRandomInputSubset, and ml_lib.random_forest.RFBreiman.

Definition at line 20 of file random_forest.py.

ml_lib::random_forest.RFBase::number_of_learners

Definition at line 20 of file random_forest.py.

---

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

• random_forest.py