lib/dnn/core/utils.rb in ruby-dnn-0.10.1 vs lib/dnn/core/utils.rb in ruby-dnn-0.10.2

@@ -1,34 +1,34 @@
-module DNN
-  # This module provides utility functions.
-  module Utils
-    # Categorize labels into "num_classes" classes.
-    def self.to_categorical(y, num_classes, narray_type = nil)
-      narray_type ||= y.class
-      y2 = narray_type.zeros(y.shape[0], num_classes)
-      y.shape[0].times do |i|
-        y2[i, y[i]] = 1
-      end
-      y2
-    end
-
-    # Convert hash to an object.
-    def self.from_hash(hash)
-      return nil if hash == nil
-      dnn_class = DNN.const_get(hash[:class])
-      if dnn_class.respond_to?(:from_hash)
-        return dnn_class.from_hash(hash)
-      end
-      dnn_class.new
-    end
-
-    # Return the result of the sigmoid function.
-    def self.sigmoid(x)
-      Sigmoid.new.forward(x)
-    end
-
-    # Return the result of the softmax function.
-    def self.softmax(x)
-      SoftmaxCrossEntropy.softmax(x)
-    end
-  end
-end
+module DNN
+  # This module provides utility functions.
+  module Utils
+    # Categorize labels into "num_classes" classes.
+    def self.to_categorical(y, num_classes, narray_type = nil)
+      narray_type ||= y.class
+      y2 = narray_type.zeros(y.shape[0], num_classes)
+      y.shape[0].times do |i|
+        y2[i, y[i]] = 1
+      end
+      y2
+    end
+
+    # Convert hash to an object.
+    def self.from_hash(hash)
+      return nil if hash == nil
+      dnn_class = DNN.const_get(hash[:class])
+      if dnn_class.respond_to?(:from_hash)
+        return dnn_class.from_hash(hash)
+      end
+      dnn_class.new
+    end
+
+    # Return the result of the sigmoid function.
+    def self.sigmoid(x)
+      Sigmoid.new.forward(x)
+    end
+
+    # Return the result of the softmax function.
+    def self.softmax(x)
+      SoftmaxCrossEntropy.softmax(x)
+    end
+  end
+end