From 777bcce91522d9ba693c43f5fcdf8b5ca5b8ddc0 Mon Sep 17 00:00:00 2001
From: Alex <croix.alexandre@gmail.com>
Date: Mon, 16 Sep 2019 13:51:02 +0200
Subject: [PATCH] Solve checkstyle issues
---
src/main/java/be/cylab/java/wowa/training/MainTest.java | 6 ++++--
.../java/be/cylab/java/wowa/training/NeuralNetwork.java | 2 +-
src/main/java/be/cylab/java/wowa/training/Trainer.java | 2 +-
3 files changed, 6 insertions(+), 4 deletions(-)
diff --git a/src/main/java/be/cylab/java/wowa/training/MainTest.java b/src/main/java/be/cylab/java/wowa/training/MainTest.java
index 8a2f482..925c9d9 100644
--- a/src/main/java/be/cylab/java/wowa/training/MainTest.java
+++ b/src/main/java/be/cylab/java/wowa/training/MainTest.java
@@ -65,13 +65,15 @@ public final class MainTest {
System.out.println("Wowa training");
HashMap<AbstractSolution, Double> map_wt = trainer.runKFold(folds, 10);
long end_time = System.currentTimeMillis();
- System.out.println("Execution time : " + (end_time - start_time) / 1000 + " seconds");
+ System.out.println("Execution time : " + (end_time - start_time) / 1000
+ + " seconds");
start_time = System.currentTimeMillis();
System.out.println("Neural Network learning");
HashMap<MultiLayerNetwork, Double> map_nn = nn.runKFold(folds, 10);
end_time = System.currentTimeMillis();
- System.out.println("Execution time : " + (end_time - start_time) / 1000 + " seconds");
+ System.out.println("Execution time : " + (end_time - start_time) / 1000
+ + " seconds");
double nn_score = 0.0;
double wt_score = 0.0;
diff --git a/src/main/java/be/cylab/java/wowa/training/NeuralNetwork.java b/src/main/java/be/cylab/java/wowa/training/NeuralNetwork.java
index fc3d513..35d6a10 100644
--- a/src/main/java/be/cylab/java/wowa/training/NeuralNetwork.java
+++ b/src/main/java/be/cylab/java/wowa/training/NeuralNetwork.java
@@ -138,7 +138,7 @@ public final class NeuralNetwork {
record_reader, 12468, FEATURES_COUNT, CLASSES_COUNT);
DataSet all_data = iterator.next();
//DataSet training_data
- // = prepareDataSetForTrainingAndTesting(all_data).getTrain();
+ // = prepareDataSetForTrainingAndTesting(all_data).getTrain();
return learning(all_data);
} catch (IOException e) {
diff --git a/src/main/java/be/cylab/java/wowa/training/Trainer.java b/src/main/java/be/cylab/java/wowa/training/Trainer.java
index fda997a..87c45ff 100644
--- a/src/main/java/be/cylab/java/wowa/training/Trainer.java
+++ b/src/main/java/be/cylab/java/wowa/training/Trainer.java
@@ -162,7 +162,7 @@ public class Trainer {
* @param increase_ratio
* @return
*/
- HashMap<AbstractSolution, Double> runKFold(
+ final HashMap<AbstractSolution, Double> runKFold(
final List<TrainingDataset> prepared_folds,
final int increase_ratio) {
HashMap<AbstractSolution, Double> map = new HashMap<>();
--
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