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deepjavalibrary · Sep 27, 2022 · 9d7bea8 · 9d7bea8
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diff --git a/extensions/timeseries/src/main/java/ai/djl/timeseries/dataset/M5Forecast.java b/extensions/timeseries/src/main/java/ai/djl/timeseries/dataset/M5Forecast.java
@@ -42,9 +42,9 @@
  * M5 Forecasting - Accuracy from <a
  * href="https://www.kaggle.com/competitions/m5-forecasting-accuracy">https://www.kaggle.com/competitions/m5-forecasting-accuracy</a>
  *
- * <p>To improve the model performance, we coarse grain the target of the dataset by summing the sale
- * amount every seven days. And set the column names of sum as 'w_i'. This can reduce occurrence of
- * invalid values 0 and reduce the noise learned by model.
+ * <p>To improve the model performance, we coarse grain the target of the dataset by summing the
+ * sale amount every seven days. And set the column names of sum as 'w_i'. This can reduce
+ * occurrence of invalid values 0 and reduce the noise learned by model.
  */
 public class M5Forecast extends CsvTimeSeriesDataset {
 

diff --git a/extensions/timeseries/src/test/java/ai/djl/timeseries/dataset/M5ForecastTest.java b/extensions/timeseries/src/test/java/ai/djl/timeseries/dataset/M5ForecastTest.java
@@ -42,7 +42,7 @@ public class M5ForecastTest {
 
     @Test
     public void testM5Forecast() throws IOException, TranslateException {
-//        TestRequirements.weekly();
+        //        TestRequirements.weekly();
         TrainingConfig config =
                 new DefaultTrainingConfig(Loss.softmaxCrossEntropyLoss())
                         .optInitializer(Initializer.ONES, Parameter.Type.WEIGHT);