Changeset 11794
 Timestamp:
 01/19/15 10:54:43 (3 years ago)
 File:

 1 edited
Legend:
 Unmodified
 Added
 Removed

trunk/sources/HeuristicLab.Encodings.RealVectorEncoding/3.3/Creators/NormalDistributedRealVectorCreator.cs
r11171 r11794 88 88 /// </remarks> 89 89 /// <param name="random">The random number generator.</param> 90 /// <param name="mean ">The mean vector around which the resulting vector is sampled.</param>91 /// <param name="sigma ">The vector of standard deviations, must have at least one row.</param>90 /// <param name="means">The mean vector around which the resulting vector is sampled.</param> 91 /// <param name="sigmas">The vector of standard deviations, must have at least one row.</param> 92 92 /// <param name="bounds">The lower and upper bound (1st and 2nd column) of the positions in the vector. If there are less rows than dimensions, the rows are cycled.</param> 93 93 /// <param name="maximumTries">The maximum number of tries to sample a value inside the bounds for each dimension. If a valid value cannot be obtained, the mean will be used.</param> 94 94 /// <returns>The newly created real vector.</returns> 95 public static RealVector Apply(IRandom random, RealVector mean, DoubleArray sigma, DoubleMatrix bounds, int maximumTries = 1000) { 95 public static RealVector Apply(IntValue lengthValue, IRandom random, RealVector means, DoubleArray sigmas, DoubleMatrix bounds, int maximumTries = 1000) { 96 if (lengthValue == null  lengthValue.Value == 0) throw new ArgumentException("Length is not defined or zero"); 96 97 if (random == null) throw new ArgumentNullException("Random is not defined", "random"); 97 if (mean == null  mean.Length == 0) throw new ArgumentNullException("Mean is not defined", "mean");98 if (sigma == null  sigma.Length == 0) throw new ArgumentNullException("Sigma is not defined.", "sigma");98 if (means == null  means.Length == 0) throw new ArgumentNullException("Mean is not defined", "mean"); 99 if (sigmas == null  sigmas.Length == 0) throw new ArgumentNullException("Sigma is not defined.", "sigma"); 99 100 if (bounds == null  bounds.Rows == 0) bounds = new DoubleMatrix(new[,] { { double.MinValue, double.MaxValue } }); 101 var length = lengthValue.Value; 100 102 var nd = new NormalDistributedRandom(random, 0, 1); 101 var result = (RealVector)mean.Clone();103 var result = new RealVector(length); 102 104 for (int i = 0; i < result.Length; i++) { 103 105 var min = bounds[i % bounds.Rows, 0]; 104 106 var max = bounds[i % bounds.Rows, 1]; 105 if (min.IsAlmost(max)  mean[i] < min) result[i] = min; 106 else if (mean[i] > max) result[i] = max; 107 var mean = means[i % means.Length]; 108 var sigma = sigmas[i % sigmas.Length]; 109 if (min.IsAlmost(max)  mean < min) result[i] = min; 110 else if (mean > max) result[i] = max; 107 111 else { 108 112 int count = 0; 109 113 bool inRange; 110 114 do { 111 result[i] = mean [i] + sigma[i % sigma.Length]* nd.NextDouble();112 inRange = result[i] >= bounds[i % bounds.Rows, 0] && result[i] < bounds[i % bounds.Rows, 1];115 result[i] = mean + sigma * nd.NextDouble(); 116 inRange = result[i] >= min && result[i] < max; 113 117 count++; 114 118 } while (count < maximumTries && !inRange); 115 119 if (count == maximumTries && !inRange) 116 result[i] = mean [i];120 result[i] = mean; 117 121 } 118 122 } … … 128 132 /// <returns>The newly created real vector.</returns> 129 133 protected override RealVector Create(IRandom random, IntValue length, DoubleMatrix bounds) { 130 return Apply( random, MeanParameter.ActualValue, SigmaParameter.ActualValue, bounds, MaximumTriesParameter.Value.Value);134 return Apply(length, random, MeanParameter.ActualValue, SigmaParameter.ActualValue, bounds, MaximumTriesParameter.Value.Value); 131 135 } 132 136 }
Note: See TracChangeset
for help on using the changeset viewer.