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.functions; import java.util.List; import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics; import com.insightml.data.samples.Sample; import com.insightml.models.Predictions; public abstract class AbstractIndependentLabelsObjectiveFunction<E, T> extends AbstractObjectiveFunction<E, T> { private static final long serialVersionUID = 2875681349138131200L; @Override public final DescriptiveStatistics acrossLabels( final List<? extends Predictions<? extends E, ? extends T>>[] predictions) { final DescriptiveStatistics stats = new DescriptiveStatistics(); for (final List<? extends Predictions<? extends E, ? extends T>> predz : predictions) { for (final Predictions<? extends E, ? extends T> preds : predz) { for (final double val : label(preds.getPredictions(), preds.getExpected(), preds.getWeights(), preds.getSamples(), preds.getLabelIndex()).getValues()) { stats.addValue(val); } } } return stats; } @Override public final double instance(final T pred, final E exp, final Sample sample) { throw new IllegalAccessError(); } }