[12590] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[16565] | 3 | * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[12590] | 4 | * and the BEACON Center for the Study of Evolution in Action.
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| 5 | *
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| 6 | * This file is part of HeuristicLab.
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| 7 | *
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| 8 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 9 | * it under the terms of the GNU General Public License as published by
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| 10 | * the Free Software Foundation, either version 3 of the License, or
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| 11 | * (at your option) any later version.
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| 12 | *
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| 13 | * HeuristicLab is distributed in the hope that it will be useful,
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| 14 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 15 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 16 | * GNU General Public License for more details.
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| 17 | *
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| 18 | * You should have received a copy of the GNU General Public License
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| 19 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 20 | */
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| 21 | #endregion
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| 22 |
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[12332] | 23 | using System.Collections.Generic;
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[12873] | 24 | using HeuristicLab.Core;
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[16565] | 25 | using HEAL.Attic;
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[12332] | 26 |
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[12590] | 27 | namespace HeuristicLab.Algorithms.DataAnalysis {
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[16565] | 28 | [StorableType("588270d5-61ee-4906-b30f-841f64cd6724")]
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[12607] | 29 | // represents an interface for loss functions used by gradient boosting
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| 30 | // target represents the target vector (original targets from the problem data, never changed)
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| 31 | // pred represents the current vector of predictions (a weighted combination of models learned so far, this vector is updated after each step)
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[12873] | 32 | public interface ILossFunction : IItem {
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[12696] | 33 | // returns the loss of the current prediction vector
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| 34 | double GetLoss(IEnumerable<double> target, IEnumerable<double> pred);
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[12590] | 35 |
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[12696] | 36 | // returns an enumerable of the loss gradient for each row
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| 37 | IEnumerable<double> GetLossGradient(IEnumerable<double> target, IEnumerable<double> pred);
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[12590] | 38 |
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[12697] | 39 | // returns the optimal value for the partition of rows stored in idx[startIdx] .. idx[endIdx] inclusive
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| 40 | double LineSearch(double[] targetArr, double[] predArr, int[] idx, int startIdx, int endIdx);
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[12332] | 41 | }
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| 42 | }
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[12607] | 43 |
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| 44 |
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