Merge pull request #9 from Qwerp-Derp/patch-1

Correct `algorithem` to `algorithm`

README.md

@@ -38,7 +38,7 @@ input = [[0.0, 0.0], [0.0, 1.0], [1.0, 0.0], [1.0, 1.0]]
 output = [[0.0], [1.0], [1.0], [0.0]]
 train_data = Fann::TrainData.new(input, output)
 data = train_data.train_data
-ann.train_algorithem(LibFANN::TrainEnum::TrainRprop)
+ann.train_algorithm(LibFANN::TrainEnum::TrainRprop)
 ann.set_hidden_layer_activation_func(LibFANN::ActivationfuncEnum::Linear)
 ann.set_output_layer_activation_func(LibFANN::ActivationfuncEnum::Linear)
 if data
@@ -56,7 +56,7 @@ input = [[0.0, 0.0], [0.0, 1.0], [1.0, 0.0], [1.0, 1.0]]
 output = [[0.0], [1.0], [1.0], [0.0]]
 train_data = Fann::TrainData.new(input, output)
 data = train_data.train_data
-ann.train_algorithem(LibFANN::TrainEnum::TrainRprop)
+ann.train_algorithm(LibFANN::TrainEnum::TrainRprop)
 ann.set_hidden_layer_activation_func(LibFANN::ActivationfuncEnum::Linear)
 ann.set_output_layer_activation_func(LibFANN::ActivationfuncEnum::Linear)
 if data

spec/network_spec.cr

@@ -18,7 +18,7 @@ describe Fann::Network do
 
   it "trains on single data" do
     ann = Fann::Network::Standard.new(2, [2, 2], 1)
-    ann.randomzie_weights(0.0, 1.0)
+    ann.randomize_weights(0.0, 1.0)
     3000.times do
       ann.train_single([1.0, 0.0], [0.5])
     end
@@ -34,7 +34,7 @@ describe Fann::Network do
 
   it "trains and evaluate single data" do
     ann = Fann::Network::Standard.new(2, [2], 1)
-    ann.randomzie_weights(0.0, 1.0)
+    ann.randomize_weights(0.0, 1.0)
     3000.times do
       ann.train_single([1.0, 0.0], [0.5])
     end
@@ -50,7 +50,7 @@ describe Fann::Network do
     train_data = Fann::TrainData.new(input, output)
     data = train_data.train_data
     # ann.train_algorithem(LibFANN::TrainEnum::TrainSarprop)
-    ann.randomzie_weights(0.0, 1.0)
+    ann.randomize_weights(0.0, 1.0)
     # ann.set_hidden_layer_activation_func(LibFANN::ActivationfuncEnum::LeakyRelu)
     # ann.set_output_layer_activation_func(LibFANN::ActivationfuncEnum::LeakyRelu)
     if data
@@ -67,8 +67,8 @@ describe Fann::Network do
     output = [[0.0], [1.0], [1.0], [0.0]]
     train_data = Fann::TrainData.new(input, output)
     data = train_data.train_data
-    ann.train_algorithem(LibFANN::TrainEnum::TrainRprop)
-    ann.randomzie_weights(0.0, 1.0)
+    ann.train_algorithm(LibFANN::TrainEnum::TrainRprop)
+    ann.randomize_weights(0.0, 1.0)
     if data
       ann.train_batch(data, {:max_neurons => 500, :desired_mse => 0.001, :log_each => 10})
     end

src/crystal-fann/cascade_network.cr

@@ -25,7 +25,7 @@ module Fann
         LibFANN.destroy(@nn)
       end
 
-      def train_algorithem(algo : LibFANN::TrainEnum)
+      def train_algorithm(algo : LibFANN::TrainEnum)
         LibFANN.set_training_algorithm(@nn, algo)
       end
 
@@ -37,7 +37,7 @@ module Fann
         LibFANN.set_activation_function_hidden(@nn, func)
       end
 
-      def randomzie_weights(min : Float64, max : Float64)
+      def randomize_weights(min : Float64, max : Float64)
         # randomize_weights = fann_randomize_weights(ann : Fann*, min_weight : Type, max_weight : Type)
         LibFANN.randomize_weights(@nn, min, max)
       end

src/crystal-fann/standard_network.cr

@@ -34,7 +34,7 @@ module Fann
         LibFANN.destroy(@nn)
       end
 
-      def train_algorithem(algo : LibFANN::TrainEnum)
+      def train_algorithm(algo : LibFANN::TrainEnum)
         LibFANN.set_training_algorithm(@nn, algo)
       end
 
@@ -46,7 +46,7 @@ module Fann
         LibFANN.set_activation_function_output(@nn, func)
       end
 
-      def randomzie_weights(min : Float64, max : Float64)
+      def randomize_weights(min : Float64, max : Float64)
         # randomize_weights = fann_randomize_weights(ann : Fann*, min_weight : Type, max_weight : Type)
         LibFANN.randomize_weights(@nn, min, max)
       end