public void Initialize()
{
Console.WriteLine("Initializing GeneticTensorFlowLearning by Evolution.");
Console.WriteLine("Function arguments and expected result: arg1,arg2=expected result.");
Console.WriteLine("Sample1: 1,2,3=6");
Console.WriteLine("Sample2: 2,3,4=24");
Console.WriteLine("When finish, type ENTER to start the GA.");
m_inputs = new List <InstinctualLearningInput>();
do
{
var parts = Console.ReadLine().Split('=');
if (parts.Length != 2)
{
Console.WriteLine("Max number of operations?");
m_maxOperations = Convert.ToInt32(Console.ReadLine());
break;
}
var arguments = parts[0].Split(',');
var input = new InstinctualLearningInput(
arguments.Select(a => Convert.ToDouble(a)).ToList(),
Convert.ToDouble(parts[1]));
m_inputs.Add(input);
}while (true);
m_fitness = new InstinctualLearningFitness <Environment>(m_inputs.ToArray());
}
/// <summary>
/// Gets the function result.
/// </summary>
/// <returns>The function result.</returns>
/// <param name="function">The function.</param>
/// <param name="input">The arguments values and expected results of the function.</param>
public double GetFunctionResult(string function, InstinctualLearningInput input)
{
//var func = Parser<DoubleEvaluator>.Parse(function);
//var ctx = new VariableContext<DoubleEvaluator>();
//var vars = "ABCDEFGH";
//for(int i = 0;i<input.Arguments.Count;i++)
//{
// ctx.AddVariable(vars.Substring(i, 1), input.Arguments[i]);
//}
//var result = func.Eval(ctx);
var expression = new NCalc.Expression(function);
for (int i = 0; i < m_parameterNames.Length; i++)
{
expression.Parameters.Add(m_parameterNames[i], input.Arguments[i]);
}
var result = expression.Evaluate();
return((double)result);
//return result.Result;
// return 0.0;
}
