lib/rumale/kernel_approximation/rbf.rb in rumale-0.18.5 vs lib/rumale/kernel_approximation/rbf.rb in rumale-0.18.6

@@ -13,10 +13,10 @@
     #   transformer = Rumale::KernelApproximation::RBF.new(gamma: 1.0, n_components: 128, random_seed: 1)
     #   new_training_samples = transformer.fit_transform(training_samples)
     #   new_testing_samples = transformer.transform(testing_samples)
     #
     # *Refernce*:
-    # 1. A. Rahimi and B. Recht, "Random Features for Large-Scale Kernel Machines," Proc. NIPS'07, pp.1177--1184, 2007.
+    # - Rahimi, A., and Recht, B., "Random Features for Large-Scale Kernel Machines," Proc. NIPS'07, pp.1177--1184, 2007.
     class RBF
       include Base::BaseEstimator
       include Base::Transformer
 
       # Return the random matrix for transformation.