random_classifier

Module: missions.nodes.classification.random_classifier

Contains nodes that classify randomly

Inheritance diagram for pySPACE.missions.nodes.classification.random_classifier:

RandomClassifierNode

class pySPACE.missions.nodes.classification.random_classifier.RandomClassifierNode(*args, **kwargs)

Bases: pySPACE.missions.nodes.base_node.BaseNode

Assign data randomly with probability 0.5 to the classes

Parameters

Exemplary Call

-
    node : Random_Classifier

Author:

Jan Hendrik Metzen (jhm@informatik.uni-bremen.de)

Created:

2009/07/03

Last change:

2010/08/13 by Mario Krell

POSSIBLE NODE NAMES:  

• RandomClassifier
• RandomClassifierNode
• Random_Classifier

POSSIBLE INPUT TYPES:  

• FeatureVector

Class Components Summary

_execute(data)	Executes the classifier on the given data vector x
_train(data, class_label)	Trains the classifier on the given data
input_types
is_supervised()	Returns whether this node requires supervised training
is_trainable()	Returns whether this node is trainable.

__init__(*args, **kwargs)

is_trainable()

Returns whether this node is trainable.

is_supervised()

Returns whether this node requires supervised training

_execute(data)

Executes the classifier on the given data vector x

_train(data, class_label)

Trains the classifier on the given data

It is assumed that the class_label parameter contains information about the true class the data belongs to

input_types = ['FeatureVector']