Class: FSelector::BaseCFS

Inherits:
Base
  • Object
show all
Defined in:
lib/fselector/algo_base/base_CFS.rb

Overview

Note:

for simplicity, we use sequential forward search for optimal feature subset, the original CFS that uses best first search only produces slightly better results but demands much more computational resources

base class for Correlation-based Feature Selection (CFS) algorithm, see specialized versions for discrete feature (CFS_d) and continuous feature (CFS_c), respectively.

ref: Feature Selection for Discrete and Numeric Class Machine Learning

Direct Known Subclasses

CFS_c, CFS_d

Instance Method Summary (collapse)

Methods inherited from Base

#algo_type, #each_class, #each_feature, #each_sample, #get_class_labels, #get_classes, #get_data, #get_data_copy, #get_feature_ranks, #get_feature_scores, #get_feature_type, #get_feature_values, #get_features, #get_opt, #get_sample_size, #select_feature!, #select_feature_by_rank!, #select_feature_by_score!, #set_classes, #set_data, #set_feature_type, #set_features, #set_opt

Methods included from ReplaceMissingValues

#replace_by_fixed_value!, #replace_by_knn_value!, #replace_by_mean_value!, #replace_by_median_value!, #replace_by_most_seen_value!

Methods included from FileIO

#data_from_csv, #data_from_libsvm, #data_from_random, #data_from_url, #data_from_weka, #data_to_csv, #data_to_libsvm, #data_to_weka

Constructor Details

- (BaseCFS) initialize(data = nil)

initialize from an existing data structure



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# File 'lib/fselector/algo_base/base_CFS.rb', line 17

def initialize(data=nil)
  super(data)
end