/// <summary> /// Generate a random training set. /// </summary> /// <param name="seed">The seed value to use, the same seed value will always produce /// the same results.</param> /// <param name="count">How many training items to generate.</param> /// <param name="inputCount">How many input numbers.</param> /// <param name="idealCount">How many ideal numbers.</param> /// <param name="min">The minimum random number.</param> /// <param name="max">The maximum random number.</param> /// <returns>The random training set.</returns> public static BasicMLDataSet Generate(long seed, int count, int inputCount, int idealCount, double min, double max) { var rand = new LinearCongruentialGenerator(seed); var result = new BasicMLDataSet(); for (int i = 0; i < count; i++) { var inputData = new BasicMLData(inputCount); for (int j = 0; j < inputCount; j++) { inputData[j] = rand.Range(min, max); } var idealData = new BasicMLData(idealCount); for (int j = 0; j < idealCount; j++) { idealData[j] = rand.Range(min, max); } var pair = new BasicMLDataPair(inputData, idealData); result.Add(pair); } return(result); }
/// <summary> /// Generate random training into a training set. /// </summary> /// <param name="training">The training set to generate into.</param> /// <param name="seed">The seed to use.</param> /// <param name="count">How much data to generate.</param> /// <param name="min">The low random value.</param> /// <param name="max">The high random value.</param> public static void Generate(IMLDataSetAddable training, long seed, int count, double min, double max) { var rand = new LinearCongruentialGenerator(seed); int inputCount = training.InputSize; int idealCount = training.IdealSize; for (int i = 0; i < count; i++) { var inputData = new BasicMLData(inputCount); for (int j = 0; j < inputCount; j++) { inputData[j] = rand.Range(min, max); } var idealData = new BasicMLData(idealCount); for (int j = 0; j < idealCount; j++) { idealData[j] = rand.Range(min, max); } var pair = new BasicMLDataPair(inputData, idealData); training.Add(pair); } }
/// <summary> /// Generate a random number based on the range specified in the constructor. /// </summary> /// /// <param name="d">The range randomizer ignores this value.</param> /// <returns>The random number.</returns> public override double Randomize(double d) { return(_rand.Range(_min, _max)); }
/// <summary> /// Generate a random number based on the range specified in the constructor. /// </summary> /// <param name="d">The range randomizer ignores this value.</param> /// <returns>The random number.</returns> public override double Randomize(double d) { return(rand.Range(this.Min, this.Max)); }