/// <summary>
/// Initializes a new instance of the <see cref="UniformGenerator"/> class.
/// </summary>
///
/// <param name="range">Random numbers range.</param>
/// <param name="seed">Seed value to initialize random numbers generator.</param>
///
public UniformGenerator(Accord.Range range, int seed)
{
rand = new UniformOneGenerator(seed);
min = range.Min;
length = range.Length;
}
private void btnStartLearning_Click(object sender, EventArgs e)
{
network = new NeuralNetwork(0, nodeCounts,
rbBernoulli.Checked ? FunctionType.BERNOULLI : FunctionType.GAUSSIAN,
(double)nudSigmoidValue.Value);
network.initData(weatherModelData.ToList());
pbLearning.Minimum = 0;
pbLearning.Maximum = (int)nudIterations.Value + 1;
for (int i = 0; i < weatherModelData.Count; i++)
{
realTemparatures[i, 1] = network.outputs[i][0].Scale(-1, 1, -100, 100);
realTemparatures[i, 0] = i;
}
Accord.Range rn = new Accord.Range(-100, 100);
chart.RangeY = new Accord.Range(rn.Min, rn.Max);
chart.RangeX = new Accord.Range(0, realTemparatures.Length / 2);
network.Train((int)nudIterations.Value, epochEvent, FinishLearning);
}
public static float[] Scale(Range from, Range to, float[] x)
{
return(Accord.Math.Vector.Scale(x, (IRange <float>)from, (IRange <float>)to));
}
public static float[] Interval(this Range range, double stepSize)
{
return(Interval(range.Min, range.Max, stepSize));
}
/// <summary>
/// Creates an interval vector (like NumPy's linspace function).
/// </summary>
///
/// <remarks>
/// <para>
/// The Range methods should be equivalent to NumPy's np.linspace function. For
/// a similar method that accepts a step size instead of a number of steps, see
/// <see cref="Vector.Range(int, int)"/>.</para>
/// </remarks>
///
/// <seealso cref="Vector.Range(int, int)"/>
///
public static float[] Interval(this Range range, int steps)
{
return(Interval(range.Min, range.Max, steps));
}
/// <summary>
/// Initializes a new instance of the <see cref="UniformGenerator"/> class.
/// </summary>
///
/// <param name="range">Random numbers range.</param>
///
/// <remarks>Initializes random numbers generator with zero seed.</remarks>
///
public UniformGenerator(Accord.Range range)
: this(range, 0)
{
}
