53 lines
1.8 KiB
Java
53 lines
1.8 KiB
Java
package ru.ulstu.method.exponential.addtrendnoseason;
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import ru.ulstu.datamodel.Model;
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import ru.ulstu.datamodel.ts.TimeSeries;
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import ru.ulstu.method.MethodParamValue;
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import ru.ulstu.method.MethodParameter;
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import ru.ulstu.method.exponential.parameter.Alpha;
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import ru.ulstu.method.exponential.parameter.Beta;
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import ru.ulstu.method.exponential.parameter.ExponentialMethodParamValue;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.List;
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public class AddTrendNoSeasonModel extends Model {
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private final ExponentialMethodParamValue<Alpha> alpha = new ExponentialMethodParamValue<>(Alpha.getInstance(), 0.5);
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private final ExponentialMethodParamValue<Beta> beta = new ExponentialMethodParamValue<>(Beta.getInstance(), 0.5);
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private final List<Double> smoothedComponent = new ArrayList<>();
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private final List<Double> trendComponent = new ArrayList<>();
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public AddTrendNoSeasonModel(TimeSeries ts, List<MethodParamValue> parameters) {
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super(ts);
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for (MethodParamValue parameter : parameters) {
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if (parameter.getParameter() instanceof Alpha) {
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alpha.setValue(parameter.getValue());
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}
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if (parameter.getParameter() instanceof Beta) {
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beta.setValue(parameter.getValue());
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}
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}
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}
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public List<Double> getSmoothedComponent() {
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return smoothedComponent;
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}
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public List<Double> getTrendComponent() {
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return trendComponent;
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}
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public ExponentialMethodParamValue<Alpha> getAlpha() {
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return alpha;
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}
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public ExponentialMethodParamValue<Beta> getBeta() {
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return beta;
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}
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public static List<MethodParameter> getAvailableParameters() {
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return Arrays.asList(Alpha.getInstance(), Beta.getInstance());
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}
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}
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