[2319] | 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.Modeling;
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| 29 | using HeuristicLab.DataAnalysis;
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| 30 |
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| 31 | namespace HeuristicLab.SupportVectorMachines {
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| 32 | public class PredictorBuilder : OperatorBase {
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| 33 | public PredictorBuilder()
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| 34 | : base() {
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| 35 | AddVariableInfo(new VariableInfo("Dataset", "The input dataset", typeof(Dataset), VariableKind.In));
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| 36 | AddVariableInfo(new VariableInfo("SVMModel", "The SVM model", typeof(SVMModel), VariableKind.In));
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| 37 | AddVariableInfo(new VariableInfo("TargetVariable", "The target variable", typeof(StringData), VariableKind.In));
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| 38 | AddVariableInfo(new VariableInfo("InputVariables", "The input variable names", typeof(StringData), VariableKind.In));
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| 39 | AddVariableInfo(new VariableInfo("Predictor", "The predictor can be used to generate estimated values", typeof(IPredictor), VariableKind.New));
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| 40 | }
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| 41 |
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| 42 | public override string Description {
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| 43 | get { return "Extracts the SVM Model and generates a predictor for the model analyzer."; }
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| 44 | }
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| 45 |
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| 46 | public override IOperation Apply(IScope scope) {
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| 47 | Dataset ds = GetVariableValue<Dataset>("Dataset", scope, true);
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| 48 | SVMModel model = GetVariableValue<SVMModel>("SVMModel", scope, true);
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| 49 | int targetVariable = GetVariableValue<IntData>("TargetVariable", scope, true).Data;
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| 50 | string targetVariableName = ds.GetVariableName(targetVariable);
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| 51 | ItemList inputVariables = GetVariableValue<ItemList>("InputVariables", scope, true);
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| 52 | Dictionary<string, int> variableNames = new Dictionary<string, int>();
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| 53 | for (int i = 0; i < ds.Columns; i++) variableNames[ds.GetVariableName(i)] = i;
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| 54 |
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| 55 | scope.AddVariable(new HeuristicLab.Core.Variable(scope.TranslateName("Predictor"), new Predictor(model, targetVariableName, variableNames)));
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| 56 | return null;
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| 57 | }
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| 58 | }
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| 59 | }
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