random_feature_selection

Module: missions.nodes.feature_selection.random_feature_selection

Randomly select a number of features

Inheritance diagram for pySPACE.missions.nodes.feature_selection.random_feature_selection:

Inheritance diagram of pySPACE.missions.nodes.feature_selection.random_feature_selection

RandomFeatureSelectionNode

class pySPACE.missions.nodes.feature_selection.random_feature_selection.RandomFeatureSelectionNode(num_retained_features=None, selected_features_path=None, **kwargs)[source]

Bases: pySPACE.missions.nodes.base_node.BaseNode

Randomly select a given number of features

Parameters

num_retained_features:
 

The number of features that should be retained by the node. This information must be specified if selected_features_path is not specified.

(optional, default: None)
selected_features_path:
 

An absolute path from which the selected features are loaded. If not specified, these features are learned from the training data. In this case, num_retained_features must be specified.

(optional, default: None)

Exemplary Call

-
    node : RandomFeatureSelection
    parameters :
          num_retained_features : 1
Author:

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

2009/02/03
POSSIBLE NODE NAMES:
 
  • RandomFeatureSelectionNode
  • RandomFeatureSelection
POSSIBLE INPUT TYPES:
 
  • FeatureVector

Class Components Summary

_execute(feature_vector) Projects the feature vector onto the retained features
input_types
store_state(result_dir[, index]) Stores this node in the given directory result_dir
__init__(num_retained_features=None, selected_features_path=None, **kwargs)[source]
_execute(feature_vector)[source]

Projects the feature vector onto the retained features

input_types = ['FeatureVector']
store_state(result_dir, index=None)[source]

Stores this node in the given directory result_dir