ml_lib.random_forest.DecisionTree Class Reference

Basic DecisionTree that the random forest is based on. More...

List of all members.

Public Member Functions
def	__init__
def	get_tree_depth
def	make_leaf
def	predict
def	train
def	transform_input
	Identity function.
Public Attributes
	children
	prediction
	split_point

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Detailed Description

Basic DecisionTree that the random forest is based on.

Definition at line 201 of file random_forest.py.

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Constructor & Destructor Documentation

def ml_lib.random_forest.DecisionTree.__init__	(		self,
			dataset = None,
			splitting_func = min_entropy_split
	)

Definition at line 203 of file random_forest.py.

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Member Function Documentation

def ml_lib.random_forest.DecisionTree.get_tree_depth

(

self

)

Definition at line 260 of file random_forest.py.

def ml_lib.random_forest.DecisionTree.make_leaf	(		self,
			dataset
	)

Definition at line 226 of file random_forest.py.

def ml_lib.random_forest.DecisionTree.predict	(		self,
			input
	)

Definition at line 238 of file random_forest.py.

def ml_lib.random_forest.DecisionTree.train	(		self,
			dataset,
			splitting_func = min_entropy_split
	)

Definition at line 209 of file random_forest.py.

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

Identity function.

Definition at line 257 of file random_forest.py.

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Member Data Documentation

ml_lib::random_forest.DecisionTree::children

Definition at line 203 of file random_forest.py.

ml_lib::random_forest.DecisionTree::prediction

Definition at line 203 of file random_forest.py.

ml_lib::random_forest.DecisionTree::split_point

Definition at line 209 of file random_forest.py.

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

• random_forest.py