added test ML model to docker containers

Author: rashtao

docker/foo.bin

@@ -101,6 +101,13 @@ for a in ${COORDINATORS[*]} ; do
     curl -u root:test --insecure --fail "$SCHEME://$a/_api/version"
 done
 
+echo ""
+echo ""
+echo "Copying test ML models into containers..."
+for c in $(docker ps -a -f name=adb-.* -q) ; do
+    docker cp "$LOCATION"/foo.bin "$c":/tmp
+done
+
 echo ""
 echo ""
 echo "Done, your deployment is reachable at: "

docker/start_db.sh

@@ -102,6 +102,8 @@ public class VPackDeserializers {
                 return context.deserialize(vpack, SegmentationAnalyzer.class);
             case collation:
                 return context.deserialize(vpack, CollationAnalyzer.class);
+            case classification:
+                return context.deserialize(vpack, ClassificationAnalyzer.class);
             default:
                 throw new IllegalArgumentException("Unknown analyzer type: " + type);
         }

src/main/java/com/arangodb/internal/velocypack/VPackDeserializers.java

@@ -994,7 +994,7 @@ void classificationAnalyzer(ArangoDatabase db) {
         assumeTrue(isEnterprise());
 
         ClassificationAnalyzerProperties properties = new ClassificationAnalyzerProperties();
-        properties.setModelLocation("/foo/bar");
+        properties.setModelLocation("/tmp/foo.bin");
         properties.setTopK(2);
         properties.setThreshold(.5);