[1902] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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| 23 | using System.Collections.Generic;
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| 24 | using System.Linq;
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| 25 | using System.Text;
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| 26 | using HeuristicLab.Core;
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| 27 | using HeuristicLab.Data;
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| 28 | using HeuristicLab.DataAnalysis;
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| 29 |
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| 30 | namespace HeuristicLab.GP.StructureIdentification.ConditionalEvaluation {
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| 31 | public class ConditionalSimpleEvaluator : GPEvaluatorBase {
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| 32 | public ConditionalSimpleEvaluator()
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| 33 | : base() {
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| 34 | AddVariableInfo(new VariableInfo("MaxTimeOffset", "Maximal time offset for all feature", typeof(IntData), VariableKind.In));
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| 35 | AddVariableInfo(new VariableInfo("MinTimeOffset", "Minimal time offset for all feature", typeof(IntData), VariableKind.In));
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| 36 | AddVariableInfo(new VariableInfo("ConditionVariable", "Variable index which indicates if the row should be evaluated (0 means do not evaluate, != 0 evaluate)", typeof(IntData), VariableKind.In));
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| 37 | AddVariableInfo(new VariableInfo("Values", "The values of the target variable as predicted by the model and the original value of the target variable", typeof(ItemList), VariableKind.New | VariableKind.Out));
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| 38 | }
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| 39 |
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| 40 | public override void Evaluate(IScope scope, ITreeEvaluator evaluator, Dataset dataset, int targetVariable, int start, int end, bool updateTargetValues) {
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| 41 | ItemList values = GetVariableValue<ItemList>("Values", scope, false, false);
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| 42 | if (values == null) {
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| 43 | values = new ItemList();
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| 44 | IVariableInfo info = GetVariableInfo("Values");
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| 45 | if (info.Local)
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| 46 | AddVariable(new HeuristicLab.Core.Variable(info.ActualName, values));
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| 47 | else
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| 48 | scope.AddVariable(new HeuristicLab.Core.Variable(scope.TranslateName(info.FormalName), values));
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| 49 | }
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| 50 | values.Clear();
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| 51 |
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| 52 | int maxTimeOffset = GetVariableValue<IntData>("MaxTimeOffset", scope, true).Data;
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| 53 | int minTimeOffset = GetVariableValue<IntData>("MinTimeOffset", scope, true).Data;
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| 54 | int conditionVariable = GetVariableValue<IntData>("ConditionVariable", scope, true).Data;
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[1916] | 55 | int skippedSampels = 0;
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[1902] | 56 |
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| 57 | for (int sample = start; sample < end; sample++) {
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| 58 | // check if condition variable is true between sample - minTimeOffset and sample - maxTimeOffset
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| 59 | bool skip = false;
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[1915] | 60 | for (int checkIndex = sample + minTimeOffset; checkIndex <= sample + maxTimeOffset && !skip ; checkIndex++) {
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[1916] | 61 | if (dataset.GetValue(checkIndex, conditionVariable) == 0) {
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[1902] | 62 | skip = true;
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[1916] | 63 | skippedSampels++;
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| 64 | }
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[1902] | 65 | }
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| 66 | if (!skip) {
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| 67 | ItemList row = new ItemList();
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| 68 | double estimated = evaluator.Evaluate(sample);
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| 69 | double original = dataset.GetValue(sample, targetVariable);
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| 70 | if (updateTargetValues) {
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| 71 | dataset.SetValue(sample, targetVariable, estimated);
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| 72 | }
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| 73 | row.Add(new DoubleData(estimated));
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| 74 | row.Add(new DoubleData(original));
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| 75 | values.Add(row);
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| 76 | }
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| 77 | }
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[1916] | 78 | scope.GetVariableValue<DoubleData>("TotalEvaluatedNodes", true).Data -= skippedSampels;
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[1902] | 79 | }
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| 80 | }
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| 81 | }
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