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Last change
on this file was
17986,
checked in by gkronber, 3 years ago
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#3106 Fixed a bug: training data were not resampled in restarts for local search. Made a few minor changes to match the description in the paper (introduced two parameters for local search and changed likelihood of variables to be included.)
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File size:
947 bytes
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| 1 | using HeuristicLab.Core;
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| 2 |
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| 3 | namespace HeuristicLab.Algorithms.DataAnalysis.ContinuedFractionRegression {
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| 4 | public class ContinuedFraction {
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| 5 | internal bool[] vars;
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| 6 | internal Term[] h;
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| 7 |
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| 8 | public ContinuedFraction() { }
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| 9 | public ContinuedFraction(int nVars, int depth, IRandom rand) {
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| 10 | this.vars = new bool[nVars];
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| 11 | for (int i = 0; i < nVars; i++) vars[i] = rand.NextDouble() < 0.3; // page 12 of the preprint. Each input variable then has a probability p = 1/3 to be present in the whitelist
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| 12 |
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| 13 | this.h = new Term[depth * 2 + 1];
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| 14 | for (int i = 0; i < h.Length; i++) {
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| 15 | h[i] = new Term();
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| 16 | var hi = h[i];
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| 17 | hi.vars = (bool[])vars.Clone();
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| 18 | hi.coef = new double[nVars];
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| 19 | for (int vi = 0; vi < nVars; vi++) {
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| 20 | if (hi.vars[vi])
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| 21 | hi.coef[vi] = rand.NextDouble() * 6 - 3;
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| 22 | }
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| 23 | hi.beta = rand.NextDouble() * 6 - 3;
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| 24 | }
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| 25 | }
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| 26 | }
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| 27 | } |
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