lib/rumale/ensemble/random_forest_classifier.rb in rumale-ensemble-0.25.0 vs lib/rumale/ensemble/random_forest_classifier.rb in rumale-ensemble-0.26.0

@@ -84,10 +84,10 @@
         ::Rumale::Validation.check_sample_size(x, y)
 
         # Initialize some variables.
         n_samples, n_features = x.shape
         @params[:max_features] = Math.sqrt(n_features).to_i if @params[:max_features].nil?
-        @params[:max_features] = [[1, @params[:max_features]].max, n_features].min
+        @params[:max_features] = [[1, @params[:max_features]].max, n_features].min # rubocop:disable Style/ComparableClamp
         @classes = Numo::Int32.asarray(y.to_a.uniq.sort)
         sub_rng = @rng.dup
         rngs = Array.new(@params[:n_estimators]) { Random.new(sub_rng.rand(::Rumale::Ensemble::Value::SEED_BASE)) }
         # Construct forest.
         @estimators =