lib/rumale/preprocessing/l2_normalizer.rb in rumale-0.13.8 vs lib/rumale/preprocessing/l2_normalizer.rb in rumale-0.14.0

@@ -30,11 +30,11 @@
       # @overload fit(x) -> L2Normalizer
       #
       # @param x [Numo::DFloat] (shape: [n_samples, n_features]) The samples to calculate L2-norms.
       # @return [L2Normalizer]
       def fit(x, _y = nil)
-        check_sample_array(x)
+        x = check_convert_sample_array(x)
         @norm_vec = Numo::NMath.sqrt((x**2).sum(1))
         self
       end
 
       # Calculate L2-norms of each sample, and then normalize samples to unit L2-norm.
@@ -42,10 +42,10 @@
       # @overload fit_transform(x) -> Numo::DFloat
       #
       # @param x [Numo::DFloat] (shape: [n_samples, n_features]) The samples to calculate L2-norms.
       # @return [Numo::DFloat] The normalized samples.
       def fit_transform(x, _y = nil)
-        check_sample_array(x)
+        x = check_convert_sample_array(x)
         fit(x)
         x / @norm_vec.tile(x.shape[1], 1).transpose
       end
 
       # Calculate L2-norms of each sample, and then normalize samples to unit L2-norm.