void Awake()
{
signalControl = new ControlSignal();
path = "Save/DroneSession/" + "Task-" + task + "/Seed-" + fromSeed + "/";
rndGenerator = new SystemRandomSource(fromSeed);
taskObject = (DroneTask)Activator.CreateInstance(Type.GetType("Lexmou.MachineLearning.Drone" + task), rndGenerator, task);
mlp = new MultiLayerMathsNet(fromSeed, null, taskObject.shapes, 1, 0);
float[] floatArr = new float[taskObject.individualSize];
//float[] floatArr = new float[] {0,-0.33f,0,0,-0.33f,0,0,0,0,0,0.5f,0,0,-1,0,0,-1,0,0,0.5f,0,1,0,0,0,0,0,0,0,0,0,-1,0,0,0,0,0,0,0,0.5f};
Genetic.LoadBest(path, fromGeneration, floatArr);
BuildCustomWeights(mlp.weights, taskObject.shapes, Vector <float> .Build.DenseOfArray(floatArr));
//Debug.Log(mlp.weights[0]);
/*if (stabilizationGeneration != 0)
* {
* Debug.Log("Gene Move");
* gene = new Genetic(stabilizationSeed, null, 100, 40, 1.0f, 0.1f, 0.1f, 0.1f, 0.1f, "Save/DroneSession/Task-stabilization/", false);
* }
* if (moveGeneration != 0)
* {
* Debug.Log("Gene Move");
* gene = new Genetic(moveSeed, null, 100, 52, 1.0f, 0.1f, 0.1f, 0.1f, 0.1f, "Save/DroneSession/Task-move/", false);
* }
* deltaDistribution = new ContinuousUniform(-2, 2);
* tmpBuildCustomWeights = new List<Matrix<float>>();*/
Restart();
}
public void SaveTest()
{
Vector <float> externalEvaluations = Vector <float> .Build.DenseOfArray(new float[2] {
0.0f, 1.0f
});
geneRndGenerator.Evaluation(externalEvaluations, "max");
geneRndGenerator.SaveGeneration();
float[,] floatArr = new float[geneRndGenerator.individualSize, geneRndGenerator.populationSize];
float[] floatArrBest = new float[geneRndGenerator.individualSize];
geneRndGenerator.LoadGeneration(1, floatArr);
geneRndGenerator.LoadBest(1, floatArrBest);
Matrix <float> result = Matrix <float> .Build.DenseOfArray(floatArr);
Vector <float> resultBest = Vector <float> .Build.DenseOfArray(floatArrBest);
Assert.AreEqual(geneRndGenerator.GetPopulation(), result);
Assert.AreEqual(geneRndGenerator.GetBestIndividual(), resultBest);
Debug.Log(geneRndGenerator.GetPopulation());
Debug.Log(result);
}
