Class: FSelector::KS_CCBF

Inherits:
BaseContinuous show all
Includes:
Discretizer, Entropy
Defined in:
lib/fselector/algo_continuous/KS-CCBF.rb

Overview

ref: Feature Selection for Supervised Classification: A KolmogorovSmirnov Class Correlation-Based Filter

Instance Method Summary collapse

Methods included from Discretizer

#discretize_by_Chi2!, #discretize_by_ChiMerge!, #discretize_by_MID!, #discretize_by_TID!, #discretize_by_equal_frequency!, #discretize_by_equal_width!

Methods included from Entropy

#get_conditional_entropy, #get_information_gain, #get_joint_entropy, #get_marginal_entropy, #get_symmetrical_uncertainty

Methods included from Consistency

#get_IR, #get_IR_by_count, #get_IR_by_feature, #get_instance_count

Methods included from Normalizer

#normalize_by_log!, #normalize_by_min_max!, #normalize_by_zscore!

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

#initialize(lamda = 0.2, data = nil) ⇒ KS_CCBF

initialize from an existing data structure

Parameters:

  • lamda (Float) (defaults to: 0.2) —

    threshold value [0, 1] to determine feature redundancy



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# File 'lib/fselector/algo_continuous/KS-CCBF.rb', line 23

def initialize(lamda=0.2, data=nil)
  super(data)
  
  @lamda = lamda || 0.2
end