Repository: deepjavalibrary/djl
Pull request #2105 (2022-10-26 18:07:08)

[timeseries] Update M5Forecast dataset and its unittest
## Description ##

Brief description of what this PR is about

- If this change is a backward incompatible change, why must this change be made?
- Interesting edge cases to note here


codecov-commenter: # [Codecov](https://codecov.io/gh/deepjavalibrary/djl/pull/2105?src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=deepjavalibrary) Report
Base: **72.08**% // Head: **70.22**% // Decreases project coverage by **`-1.86%`** :warning:
> Coverage data is based on head [(`8ca0b1c`)](https://codecov.io/gh/deepjavalibrary/djl/pull/2105?src=pr&el=desc&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=deepjavalibrary) compared to base [(`bb5073f`)](https://codecov.io/gh/deepjavalibrary/djl/commit/bb5073f7ffc33f1883621fc1783dbb01e70b418f?el=desc&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=deepjavalibrary).
> Patch coverage: 71.57% of modified lines in pull request are covered.

<details><summary>Additional details and impacted files</summary>


```diff
@@             Coverage Diff              @@
##             master    #2105      +/-   ##
============================================
- Coverage     72.08%   70.22%   -1.87%     
- Complexity     5126     6119     +993     
============================================
  Files           473      612     +139     
  Lines         21970    27173    +5203     
  Branches       2351     2946     +595     
============================================
+ Hits          15838    19081    +3243     
- Misses         4925     6671    +1746     
- Partials       1207     1421     +214     
```


| [Impacted Files](https://codecov.io/gh/deepjavalibrary/djl/pull/2105?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=deepjavalibrary) | Coverage Δ | |
|---|---|---|
| [api/src/main/java/ai/djl/modality/cv/Image.java](https://codecov.io/gh/deepjavalibrary/djl/pull/2105/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=deepjavalibrary#diff-YXBpL3NyYy9tYWluL2phdmEvYWkvZGpsL21vZGFsaXR5L2N2L0ltYWdlLmphdmE=) | `69.23% <ø> (-4.11%)` | :arrow_down: |
| [...rc/main/java/ai/djl/modality/cv/MultiBoxPrior.java](https://codecov.io/gh/deepjavalibrary/djl/pull/2105/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=deepjavalibrary#diff-YXBpL3NyYy9tYWluL2phdmEvYWkvZGpsL21vZGFsaXR5L2N2L011bHRpQm94UHJpb3IuamF2YQ==) | `76.00% <ø> (ø)` | |
| [...rc/main/java/ai/djl/modality/cv/output/Joints.java](https://codecov.io/gh/deepjavalibrary/djl/pull/2105/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=deepjavalibrary#diff-YXBpL3NyYy9tYWluL2phdmEvYWkvZGpsL21vZGFsaXR5L2N2L291dHB1dC9Kb2ludHMuamF2YQ==) | `71.42% <ø> (ø)` | |
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| [...main/java/ai/djl/modality/cv/output/Rectangle.java](https://codecov.io/gh/deepjavalibrary/djl/pull/2105/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=deepjavalibrary#diff-YXBpL3NyYy9tYWluL2phdmEvYWkvZGpsL21vZGFsaXR5L2N2L291dHB1dC9SZWN0YW5nbGUuamF2YQ==) | `72.41% <0.00%> (ø)` | |
| [...i/djl/modality/cv/translator/BigGANTranslator.java](https://codecov.io/gh/deepjavalibrary/djl/pull/2105/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=deepjavalibrary#diff-YXBpL3NyYy9tYWluL2phdmEvYWkvZGpsL21vZGFsaXR5L2N2L3RyYW5zbGF0b3IvQmlnR0FOVHJhbnNsYXRvci5qYXZh) | `21.42% <0.00%> (-5.24%)` | :arrow_down: |
| [.../modality/cv/translator/ImageFeatureExtractor.java](https://codecov.io/gh/deepjavalibrary/djl/pull/2105/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=deepjavalibrary#diff-YXBpL3NyYy9tYWluL2phdmEvYWkvZGpsL21vZGFsaXR5L2N2L3RyYW5zbGF0b3IvSW1hZ2VGZWF0dXJlRXh0cmFjdG9yLmphdmE=) | `0.00% <0.00%> (ø)` | |
| [.../ai/djl/modality/cv/translator/YoloTranslator.java](https://codecov.io/gh/deepjavalibrary/djl/pull/2105/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=deepjavalibrary#diff-YXBpL3NyYy9tYWluL2phdmEvYWkvZGpsL21vZGFsaXR5L2N2L3RyYW5zbGF0b3IvWW9sb1RyYW5zbGF0b3IuamF2YQ==) | `27.77% <0.00%> (+18.95%)` | :arrow_up: |
| [...modality/cv/translator/wrapper/FileTranslator.java](https://codecov.io/gh/deepjavalibrary/djl/pull/2105/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=deepjavalibrary#diff-YXBpL3NyYy9tYWluL2phdmEvYWkvZGpsL21vZGFsaXR5L2N2L3RyYW5zbGF0b3Ivd3JhcHBlci9GaWxlVHJhbnNsYXRvci5qYXZh) | `44.44% <ø> (ø)` | |
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</details>

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Patch:
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
index 3fbd084c7..a379f76a0 100644
--- a/extensions/timeseries/src/main/java/ai/djl/timeseries/dataset/M5Forecast.java
+++ b/extensions/timeseries/src/main/java/ai/djl/timeseries/dataset/M5Forecast.java
@@ -22,7 +22,6 @@ import ai.djl.repository.MRL;
 import ai.djl.repository.Repository;
 import ai.djl.util.JsonUtils;
 import ai.djl.util.Progress;
-import ai.djl.util.Utils;
 
 import org.apache.commons.csv.CSVFormat;
 
@@ -35,7 +34,6 @@ import java.nio.file.Path;
 import java.util.ArrayList;
 import java.util.List;
 import java.util.Map;
-import java.util.Objects;
 import java.util.Set;
 
 /**
@@ -109,9 +107,9 @@ public class M5Forecast extends CsvTimeSeriesDataset {
         // file as 'weekly_***'
         switch (usage) {
             case TRAIN:
-                return "fake_weekly_sales_train_validation.csv";
+                return "weekly_sales_train_validation.csv";
             case TEST:
-                return "fake_weekly_sales_train_evaluation.csv";
+                return "weekly_sales_train_evaluation.csv";
             case VALIDATION:
             default:
                 throw new UnsupportedOperationException("Data not available.");
@@ -122,11 +120,17 @@ public class M5Forecast extends CsvTimeSeriesDataset {
     public static class Builder extends CsvBuilder<Builder> {
 
         Repository repository;
-        Usage usage = Usage.TRAIN;
+        String groupId;
+        String artifactId;
+        Usage usage;
         M5Features mf;
         List<Integer> cardinality;
 
         Builder() {
+            repository = BasicDatasets.REPOSITORY;
+            groupId = BasicDatasets.GROUP_ID;
+            artifactId = ARTIFACT_ID;
+            usage = Usage.TRAIN;
             csvFormat =
                     CSVFormat.DEFAULT
                             .builder()
@@ -139,8 +143,7 @@ public class M5Forecast extends CsvTimeSeriesDataset {
         }
 
         MRL getMrl() {
-            return repository.dataset(
-                    Application.Tabular.ANY, BasicDatasets.GROUP_ID, ARTIFACT_ID, VERSION);
+            return repository.dataset(Application.Tabular.ANY, groupId, artifactId, VERSION);
         }
 
         /** {@inheritDoc} */
@@ -150,18 +153,46 @@ public class M5Forecast extends CsvTimeSeriesDataset {
         }
 
         /**
-         * Set the repository containing the path.
+         * Sets the optional repository.
          *
-         * @param repository the repository containing the path
+         * @param repository the repository
          * @return this builder
          */
-        public Builder setRepository(Repository repository) {
+        public Builder optRepository(Repository repository) {
             this.repository = repository;
             return this;
         }
 
         /**
-         * Set the optional usage.
+         * Sets optional groupId.
+         *
+         * @param groupId the groupId}
+         * @return this builder
+         */
+        public Builder optGroupId(String groupId) {
+            this.groupId = groupId;
+            return this;
+        }
+
+        /**
+         * Sets the optional artifactId.
+         *
+         * @param artifactId the artifactId
+         * @return this builder
+         */
+        public Builder optArtifactId(String artifactId) {
+            if (artifactId.contains(":")) {
+                String[] tokens = artifactId.split(":");
+                groupId = tokens[0];
+                this.artifactId = tokens[1];
+            } else {
+                this.artifactId = artifactId;
+            }
+            return this;
+        }
+
+        /**
+         * Sets the optional usage.
          *
          * @param usage the usage
          * @return this builder
@@ -228,9 +259,8 @@ public class M5Forecast extends CsvTimeSeriesDataset {
 
         private void parseFeatures() {
             if (mf == null) {
-                String url =
-                        "https://mlrepo.djl.ai/dataset/tabular/ai/djl/basicdataset/m5forecast/1.0/m5forecast_parser.json";
-                try (InputStream is = Objects.requireNonNull(Utils.openUrl(url));
+                try (InputStream is =
+                                M5Forecast.class.getResourceAsStream("m5forecast_parser.json");
                         Reader reader = new InputStreamReader(is, StandardCharsets.UTF_8)) {
                     mf = JsonUtils.GSON.fromJson(reader, M5Features.class);
                 } catch (IOException e) {
diff --git a/extensions/timeseries/src/main/resources/ai/djl/timeseries/dataset/m5forecast_parser.json b/extensions/timeseries/src/main/resources/ai/djl/timeseries/dataset/m5forecast_parser.json
new file mode 100644
index 000000000..b1f0bdc90
--- /dev/null
+++ b/extensions/timeseries/src/main/resources/ai/djl/timeseries/dataset/m5forecast_parser.json
@@ -0,0 +1,3100 @@
+{
+  "featureArray": [
+    "state_id",
+    "store_id",
+    "cat_id",
+    "dept_id",
+    "item_id"
+  ],
+  "categorical": [
+    "state_id",
+    "store_id",
+    "cat_id",
+    "dept_id",
+    "item_id"
+  ],
+  "featureToMap": {
+    "state_id": {
+      "CA": 0,
+      "TX": 1,
+      "WI": 2
+    },
+    "store_id": {
+      "CA_1": 0,
+      "CA_2": 1,
+      "CA_3": 2,
+      "CA_4": 3,
+      "TX_1": 4,
+      "TX_2": 5,
+      "TX_3": 6,
+      "WI_1": 7,
+      "WI_2": 8,
+      "WI_3": 9
+    },
+    "cat_id": {
+      "FOODS": 0,
+      "HOBBIES": 1,
+      "HOUSEHOLD": 2
+    },
+    "dept_id": {
+      "FOODS_1": 0,
+      "FOODS_2": 1,
+      "FOODS_3": 2,
+      "HOBBIES_1": 3,
+      "HOBBIES_2": 4,
+      "HOUSEHOLD_1": 5,
+      "HOUSEHOLD_2": 6
+    },
+    "item_id": {
+      "FOODS_1_001": 0,
+      "FOODS_1_002": 1,
+      "FOODS_1_003": 2,
+      "FOODS_1_004": 3,
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+      "HOUSEHOLD_2_508": 3040,
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+      "HOUSEHOLD_2_511": 3043,
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+      "HOUSEHOLD_2_513": 3045,
+      "HOUSEHOLD_2_514": 3046,
+      "HOUSEHOLD_2_515": 3047,
+      "HOUSEHOLD_2_516": 3048
+    }
+  }
+}
\ No newline at end of file


Test patch:
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
index 3582e1443..7779f8fb2 100644
--- a/extensions/timeseries/src/test/java/ai/djl/timeseries/dataset/M5ForecastTest.java
+++ b/extensions/timeseries/src/test/java/ai/djl/timeseries/dataset/M5ForecastTest.java
@@ -21,7 +21,6 @@ import ai.djl.ndarray.NDList;
 import ai.djl.ndarray.NDManager;
 import ai.djl.nn.Blocks;
 import ai.djl.nn.Parameter;
-import ai.djl.testing.TestRequirements;
 import ai.djl.timeseries.transform.TimeSeriesTransform;
 import ai.djl.training.DefaultTrainingConfig;
 import ai.djl.training.Trainer;
@@ -38,14 +37,17 @@ import org.testng.annotations.Test;
 
 import java.io.IOException;
 import java.time.LocalDateTime;
+import java.util.List;
 
 public class M5ForecastTest {
 
-    // Here for the purpose of unittest, we use the fake M5 forecast data. The real data needs to be
-    // downloaded from https://www.kaggle.com/competitions/m5-forecasting-accuracy/data
+    /*
+     * Here for the purpose of unittest, we use the M5 forecast unittest dataset.
+     * The real data needs to be downloaded from:
+     * https://www.kaggle.com/competitions/m5-forecasting-accuracy/data
+     */
     @Test
     public void testM5Forecast() throws IOException, TranslateException {
-        TestRequirements.weekly();
         TrainingConfig config =
                 new DefaultTrainingConfig(Loss.softmaxCrossEntropyLoss())
                         .optInitializer(Initializer.ONES, Parameter.Type.WEIGHT);
@@ -57,10 +59,14 @@ public class M5ForecastTest {
             M5Forecast.Builder builder =
                     M5Forecast.builder()
                             .optUsage(Dataset.Usage.TEST)
-                            .setRepository(BasicDatasets.REPOSITORY)
+                            .optRepository(BasicDatasets.REPOSITORY)
+                            .optGroupId(BasicDatasets.GROUP_ID)
+                            .optArtifactId("m5forecast-unittest")
                             .setTransformation(TimeSeriesTransform.identityTransformation())
                             .setContextLength(4)
                             .setSampling(32, true);
+            List<String> features = builder.getAvailableFeatures();
+            Assert.assertEquals(features.size(), 5);
             for (int i = 1; i <= 277; i++) {
                 builder.addFeature("w_" + i, FieldName.TARGET);
             }
@@ -80,8 +86,8 @@ public class M5ForecastTest {
 
             m5Forecast.prepare();
 
-            long size = m5Forecast.size();
-            Assert.assertEquals(size, 30490);
+            Assert.assertEquals(m5Forecast.getCardinality().size(), 5);
+            Assert.assertEquals(m5Forecast.size(), 64);
 
             Record record = m5Forecast.get(manager, 0);
             NDList data = record.getData();
diff --git a/extensions/timeseries/src/test/resources/mlrepo/dataset/tabular/ai/djl/basicdataset/m5forecast-unittest/metadata.json b/extensions/timeseries/src/test/resources/mlrepo/dataset/tabular/ai/djl/basicdataset/m5forecast-unittest/metadata.json
new file mode 100644
index 000000000..ec7fd8fe4
--- /dev/null
+++ b/extensions/timeseries/src/test/resources/mlrepo/dataset/tabular/ai/djl/basicdataset/m5forecast-unittest/metadata.json
@@ -0,0 +1,28 @@
+{
+  "metadataVersion": "0.1",
+  "resourceType": "dataset",
+  "application": "tabular",
+  "groupId": "ai.djl.basicdataset",
+  "artifactId": "m5forecast-unittest",
+  "name": "m5forecast",
+  "description": "This dataset provides the unittest m5 dataset.",
+  "artifacts": [
+    {
+      "version": "1.0",
+      "snapshot": false,
+      "name": "m5forecast",
+      "files": {
+        "train": {
+          "uri": "1.0/weekly_sales_train_evaluation.csv.gz",
+          "sha1Hash": "5505126866a94bccb0019035114bd95271a3505e",
+          "size": 13837
+        },
+        "test": {
+          "uri": "1.0/weekly_sales_train_validation.csv.gz",
+          "sha1Hash": "80812b80777009bc5a0e93980b683a87bb34e225",
+          "size": 13615
+        }
+      }
+    }
+  ]
+}