lib/rumale/pipeline/feature_union.rb in rumale-pipeline-0.28.0 vs lib/rumale/pipeline/feature_union.rb in rumale-pipeline-0.28.1
- old
+ new
@@ -41,10 +41,10 @@
#
# @param x [Numo::DFloat] (shape: [n_samples, n_features]) The training data to be used for fitting the transformers.
# @param y [Numo::NArray/Nil] (shape: [n_samples, n_outputs]) The target values or labels to be used for fitting the transformers.
# @return [FeatureUnion] The learned feature union itself.
def fit(x, y = nil)
- @transformers.each { |_k, t| t.fit(x, y) }
+ @transformers.each_value { |t| t.fit(x, y) }
self
end
# Fit the model with training data, and then transform them with the learned model.
#