Java tutorial
/* * Copyright (C) 2016 Stefan Hen * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package com.insightml.evaluation.simulation; import java.util.Map; import java.util.TreeMap; import org.apache.commons.math3.stat.descriptive.StatisticalSummary; import com.google.common.base.MoreObjects; import com.insightml.evaluation.functions.ObjectiveFunction; import com.insightml.utils.types.AbstractClass; public class BasicSimulationResult extends AbstractClass implements SimulationResult { private final String model; private final Map<String, Float> metrics; private BasicSimulationResult(final String model, final Map<String, Float> metrics) { this.model = model; this.metrics = metrics; } public static SimulationResult of(final String learner, final ISimulationResults<?, ?> performance) { final StatisticalSummary[] results = performance.getResults(); final ObjectiveFunction<?, ?>[] metrics = performance.getObjectives(); final Map<String, Float> metric = new TreeMap<>(); for (int i = 0; i < metrics.length; ++i) { metric.put(metrics[i].getName(), (float) results[i].getMean()); } return new BasicSimulationResult(learner, metric); } @Override public String getModel() { return model; } @Override public Map<String, Float> getMetrics() { return metrics; } @Override public String toString() { return MoreObjects.toStringHelper(this).add("model", model).add("metrics", metrics).toString(); } }