/** * Test if the correct calculation is done. In this case mean is smaller than the upper bounds. */ @Test public void testUpperCalculationOneStep() { Assert.assertEquals(this.steps, this.upperSeries.size()); final ITimeSeriesPoint<Double> stepFC = this.forecast.getUpper().getPoints().get(0); Assert.assertTrue(this.mean < stepFC.getValue()); } }
this.assertEqualsWithTolerance("Unexpected forecast value", expectedForecast, 0.1, forecastSeries.getPoints().get(0).getValue()); final ITimeSeries<Double> upperSeries = forecast.getUpper(); final double expectedUpper = 4.852857; this.assertEqualsWithTolerance("Unexpected upper value", expectedUpper, 0.1, upperSeries.getPoints().get(0).getValue());
/** * Initiation of the test, setting up the test time series. * * @param timeUnit * Used time unit */ private void initForecastWithTimeUnit(final TimeUnit tu) { this.ts = new TimeSeries<Double>(this.startTime, TimeUnit.MILLISECONDS, this.deltaTime, tu); this.steps = 1; this.mean = Double.valueOf(2.0); this.ts.append(this.mean - 2); this.ts.append(this.mean - 1); this.ts.append(this.mean); this.ts.append(this.mean + 1); this.ts.append(this.mean + 2); this.forecaster = new MeanForecaster(this.ts, MeanForecasterTest.CONFIDENCE_LEVEL); this.forecast = this.forecaster.forecast(this.steps); this.forecastSeries = this.forecast.getForecast(); this.upperSeries = this.forecast.getUpper(); this.lowerSeries = this.forecast.getLower(); }
/** * Test of the ETSForecaster via Rserve. */ @Test public void testETSPredictor() { // NOPMD assertEqualsWithTolerance is a custom method final Double[] values = { 1.0, 2.0, 3.0, 4.0 }; final List<Double> expectedValues = new ArrayList<Double>(values.length); for (final Double curVal : values) { expectedValues.add(curVal); } final TimeSeries<Double> ts = new TimeSeries<Double>(ETSForecasterTest.START_TIME, TimeUnit.NANOSECONDS, ETSForecasterTest.DELTA_TIME_MILLIS, TimeUnit.MILLISECONDS); ts.appendAll(values); final ETSForecaster forecaster = new ETSForecaster(ts, ETSForecasterTest.CONFIDENCE_LEVEL); final IForecastResult forecast = forecaster.forecast(ETSForecasterTest.STEPS); final ITimeSeries<Double> forecastSeries = forecast.getForecast(); final double expectedForecast = 4.0; this.assertEqualsWithTolerance("Unexpected forecast value", expectedForecast, 0.1, AbstractKiekerRTest.getTsPoint(forecastSeries)); final ITimeSeries<Double> upperSeries = forecast.getUpper(); final double expectedUpper = 5.424480; this.assertEqualsWithTolerance("Unexpected upper value", expectedUpper, 0.1, AbstractKiekerRTest.getTsPoint(upperSeries)); final ITimeSeries<Double> lowerSeries = forecast.getLower(); final double expectedLower = 2.57531997; this.assertEqualsWithTolerance("Unexpected lower value", expectedLower, 0.1, AbstractKiekerRTest.getTsPoint(lowerSeries)); }