use brute force for pages
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@ -1,3 +1,9 @@
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/*
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* Copyright (C) 2021 Anton Romanov - All Rights Reserved
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* You may use, distribute and modify this code, please write to: romanov73@gmail.com.
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*
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*/
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package ru.ulstu.pages;
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import org.primefaces.model.chart.AxisType;
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@ -24,8 +30,6 @@ import java.time.format.DateTimeFormatter;
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@ViewScoped
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public class IndexView implements Serializable {
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private final static Logger LOG = LoggerFactory.getLogger(IndexView.class);
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private LineChartModel model;
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private String timeSeriesString = "1,2,3,2,1,2,3,2,1,2,3";
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@Autowired
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private transient TimeSeriesService timeSeriesService;
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@ -33,8 +37,12 @@ public class IndexView implements Serializable {
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@Autowired
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private transient UtilService utilService;
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private LineChartModel model;
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private String timeSeriesString;
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@PostConstruct
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public void init() {
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timeSeriesString = utilService.getTimeSeriesToString(utilService.getRandomTimeSeries(50));
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createChart();
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}
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@ -1,8 +1,6 @@
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/*
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*
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* * Copyright (C) 2021 Anton Romanov - All Rights Reserved
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* * You may use, distribute and modify this code, please write to: romanov73@gmail.com.
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*
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* Copyright (C) 2021 Anton Romanov - All Rights Reserved
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* You may use, distribute and modify this code, please write to: romanov73@gmail.com.
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*
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*/
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@ -23,6 +21,11 @@ import ru.ulstu.tsMethods.exponential.parameter.ExponentialMethodParamValue;
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@Service
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public class TimeSeriesService {
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private static final Logger LOGGER = LoggerFactory.getLogger(TimeSeriesService.class);
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private final MethodParamBruteForce methodParamBruteForce;
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public TimeSeriesService(MethodParamBruteForce methodParamBruteForce) {
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this.methodParamBruteForce = methodParamBruteForce;
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}
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public TimeSeries getForecast(TimeSeries timeSeries, int countPoints) throws ModelingException {
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TimeSeriesMethod method;
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@ -32,10 +35,6 @@ public class TimeSeriesService {
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}
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public TimeSeries smoothTimeSeries(TimeSeries timeSeries) throws ModelingException {
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//NoTrendNoSeason nn = new NoTrendNoSeason(timeSeries, ExponentialMethodParams.of(ExponentialParamName.ALPHA, 0.8));
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TimeSeriesMethod method;
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method = new NoTrendNoSeason().createFor(timeSeries);
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method = new AddTrendAddSeason().createFor(timeSeries);
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return method.getModel();
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return methodParamBruteForce.getSmoothedTimeSeries(timeSeries).getTimeSeries();
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}
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}
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@ -1,8 +1,6 @@
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/*
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*
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* * Copyright (C) 2021 Anton Romanov - All Rights Reserved
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* * You may use, distribute and modify this code, please write to: romanov73@gmail.com.
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*
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* Copyright (C) 2021 Anton Romanov - All Rights Reserved
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* You may use, distribute and modify this code, please write to: romanov73@gmail.com.
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*
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*/
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@ -10,7 +8,7 @@ package ru.ulstu.tsMethods.exponential.parameter;
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public class Alpha extends ExponentialMethodParameter {
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public Alpha() {
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super("ALPHA", 0, 1, DEFAULT_OPTIMIZATION_STEP);
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super("ALPHA", DEFAULT_MIN_VALUE, DEFAULT_MAX_VALUE, DEFAULT_OPTIMIZATION_STEP);
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}
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public static Alpha getInstance() {
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@ -1,8 +1,6 @@
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/*
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*
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* * Copyright (C) 2021 Anton Romanov - All Rights Reserved
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* * You may use, distribute and modify this code, please write to: romanov73@gmail.com.
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*
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* Copyright (C) 2021 Anton Romanov - All Rights Reserved
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* You may use, distribute and modify this code, please write to: romanov73@gmail.com.
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*
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*/
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@ -10,7 +8,7 @@ package ru.ulstu.tsMethods.exponential.parameter;
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public class Beta extends ExponentialMethodParameter {
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public Beta() {
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super("BETA", 0, 1, DEFAULT_OPTIMIZATION_STEP);
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super("BETA", DEFAULT_MIN_VALUE, DEFAULT_MAX_VALUE, DEFAULT_OPTIMIZATION_STEP);
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}
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public static Beta getInstance() {
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@ -1,8 +1,6 @@
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/*
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*
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* * Copyright (C) 2021 Anton Romanov - All Rights Reserved
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* * You may use, distribute and modify this code, please write to: romanov73@gmail.com.
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*
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* Copyright (C) 2021 Anton Romanov - All Rights Reserved
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* You may use, distribute and modify this code, please write to: romanov73@gmail.com.
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*
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*/
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@ -16,6 +14,8 @@ import java.util.List;
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public abstract class ExponentialMethodParameter extends MethodParameter {
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public static final Float DEFAULT_OPTIMIZATION_STEP = 0.1f;
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public static final Float DEFAULT_MIN_VALUE = 0.1f;
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public static final Float DEFAULT_MAX_VALUE = 0.99f;
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private final Number minValue;
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private final Number maxValue;
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private final Number optimizationStep;
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@ -1,8 +1,6 @@
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/*
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*
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* * Copyright (C) 2021 Anton Romanov - All Rights Reserved
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* * You may use, distribute and modify this code, please write to: romanov73@gmail.com.
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*
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* Copyright (C) 2021 Anton Romanov - All Rights Reserved
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* You may use, distribute and modify this code, please write to: romanov73@gmail.com.
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*
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*/
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@ -10,7 +8,7 @@ package ru.ulstu.tsMethods.exponential.parameter;
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public class Gamma extends ExponentialMethodParameter {
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public Gamma() {
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super("Gamma", 0, 1, DEFAULT_OPTIMIZATION_STEP);
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super("Gamma", DEFAULT_MIN_VALUE, DEFAULT_MAX_VALUE, DEFAULT_OPTIMIZATION_STEP);
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}
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public static Gamma getInstance() {
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