1 files changed, 0 insertions, 98 deletions
diff --git a/balancer.rb b/balancer.rb
deleted file mode 100644
index 4ed2fd7..0000000
--- a/balancer.rb
+++ /dev/null
@@ -1,98 +0,0 @@
-# cuts a classification dataset into balanced pieces
-# let inact_act_ratio := majority_class.size/minority_class.size 
-# then: nr pieces = ceil(inact_act_ratio) if inact_act_ratio > 1.5
-# each piece contains the complete minority class and ceil(inact_act_ratio) majority class compounds.
-
-class Balancer
-
-  attr_accessor :inact_act_ratio, :act_hash, :inact_hash, :majority_splits, :nr_majority_splits, :errors, :datasets
-
-  # Supply a OpenTox::Dataset here
-  # Calculates inact_act_ratio, iff inact_act_ratio != +/-Infinity and no regression dataset is given
-  def initialize(dataset, feature_uri, creator_url)
-    @act_arr = []
-    @inact_arr = []
-    @inact_act_ratio = 1.0/0  # trick to define +infinity
-    @nr_majority_splits = 1   # +/-1 means: no split
-    @split = []               # splitted arrays with ids
-    @datasets = []            # result datasets
-    @errors = []
-
-    classification = true
-    if dataset.features.include?(feature_uri)
-      dataset.data.each do |i,a|
-        inchi = i
-        acts = a
-        acts.each do |act|
-          value = act[feature_uri]
-          if OpenTox::Utils.is_true?(value)
-            @act_arr << inchi
-          elsif OpenTox::Utils.classification?(value)
-            @inact_arr << inchi
-          else
-            classification = false
-            break;
-          end
-        end
-      end
-      @inact_act_ratio = @inact_arr.size.to_f / @act_arr.size.to_f unless (@act_arr.size == 0 or !classification) # leave alone for regression
-      set_nr_majority_splits
-      # perform majority split
-      @split = @nr_majority_splits > 0 ? shuffle_split(@inact_arr) : shuffle_split(@act_arr) unless @nr_majority_splits.abs == 1
-      @split.each do |s|
-        new_c = @nr_majority_splits > 0 ? s.concat(@act_arr) : s.concat(@inac_arr)
-        @datasets << dataset.create_new_dataset(new_c, [feature_uri], dataset.title, creator_url)
-      end
-
-    else
-      errors << "Feature not present in dataset."
-    end
-    errors << "Can not split regression dataset." unless classification
-  end
-
-
-
-  # sets nr of splits for majority class ('+', if inact_cnt > act_cnt, or '-' else), or leaves unchanged for illegal values.
-  def set_nr_majority_splits
-    @nr_majority_splits = @inact_act_ratio >= 1.5 ? @inact_act_ratio.ceil : ( @inact_act_ratio <= (2.0/3.0) ? -(1.0/@inact_act_ratio).ceil : ( @inact_act_ratio>1.0 ? 1 : -1) ) unless OpenTox::Utils.infinity?(@inact_act_ratio) # leave alone for regression
-  end
-
-  # does the actual shuffle and split
-  def shuffle_split (arr)
-    arr = arr.shuffle
-    arr.chunk(@nr_majority_splits.abs)
-  end
-
-  # turns a hash into a 2 col csv
-  def hsh2csv (hsh)
-    res=""
-    hsh.each do |k,v|
-      arr = [v,(@nr_majority_splits > 0 ? 0 : 1)]
-      res += arr.join(", ") + "\n"
-    end
-    res
-  end
-
-end
-
-class Array
-
-  # cuts an array into <num-pieces> chunks - returns a two-dimensional array
-  def chunk(pieces)
-    q, r = length.divmod(pieces)
-    (0..pieces).map { |i| i * q + [r, i].min }.enum_cons(2) \
-      .map { |a, b| slice(a...b) }
-  end
-
-  # shuffles the elements of an array
-  def shuffle( seed=nil )
-    srand seed.to_i if seed
-    sort_by { Kernel.rand }
-  end
-
-  # shuffels self
-  def shuffle!( seed=nil )
-    self.replace shuffle( seed )
-  end
-
-end