add Target implementation

src/main/java/ru/ulstu/target/AnomalyDecompose.java

@@ -0,0 +1,17 @@
+package ru.ulstu.target;
+
+import org.springframework.stereotype.Service;
+import ru.ulstu.datamodel.ts.TimeSeries;
+
+@Service
+public class AnomalyDecompose extends Target {
+    public AnomalyDecompose() {
+        super("Разложение");
+    }
+
+    @Override
+    public TimeSeries calculate(TimeSeries model) {
+
+        return null;
+    }
+}

src/main/java/ru/ulstu/target/AnomalyDifferenceSmoothed.java

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+package ru.ulstu.target;
+
+import org.springframework.stereotype.Service;
+import ru.ulstu.datamodel.ModelingResult;
+import ru.ulstu.datamodel.exception.ModelingException;
+import ru.ulstu.datamodel.ts.TimeSeries;
+import ru.ulstu.datamodel.ts.TimeSeriesValue;
+import ru.ulstu.service.TimeSeriesService;
+
+import java.lang.reflect.InvocationTargetException;
+import java.util.concurrent.ExecutionException;
+
+@Service
+public class AnomalyDifferenceSmoothed extends Target {
+
+    private final TimeSeriesService timeSeriesService;
+
+    public AnomalyDifferenceSmoothed(TimeSeriesService timeSeriesService) {
+        super("Модель сравнения со сглаженным ВР");
+        this.timeSeriesService = timeSeriesService;
+    }
+
+    @Override
+    public TimeSeries calculate(TimeSeries ts) throws ModelingException, ExecutionException, InterruptedException, InvocationTargetException, NoSuchMethodException, InstantiationException, IllegalAccessException {
+        TimeSeries anomalyPoints = new TimeSeries();
+        TimeSeries residual = new TimeSeries();
+        ModelingResult modelingResult = timeSeriesService.smoothTimeSeries(ts, "AddTrendAddSeason");
+        var tsResult = modelingResult.getTimeSeries();
+
+        for (int i = 0; i < ts.getLength(); i++) {
+            residual.addValue(new TimeSeriesValue(ts.getValue(i).getDate(), Math.abs(ts.getNumericValue(i) - tsResult.getNumericValue(i))));
+        }
+        return null;
+    }
+}

src/main/java/ru/ulstu/target/AnomalyPredictive.java

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+package ru.ulstu.target;
+
+import ru.ulstu.datamodel.ts.TimeSeries;
+
+public class AnomalyPredictive extends Target {
+    public AnomalyPredictive() {
+        super("Прогнозная модель, %");
+    }
+
+    @Override
+    public TimeSeries calculate(TimeSeries model) {
+        return null;
+    }
+}