public void BoolMutation()
{
var db = new Database(TestHelpers.GetCleanDatabase());
var protoChrom = Initialization.MakeProtoChromosome();
var protoRun = new ProtoRun(db, "MixtureCrossoverTest", -1, protoChrom, 2, 6, 4, 10, 0.05);
var run = new Run(protoRun, protoChrom);
int trues = 0;
int falses = 0;
var chrom = Initialization.MakeRandomChromosome(NetworkType.Rnn, protoChrom, 0);
Lists.Repeat(10000, _ => {
chrom = Functions.MutateChromosome(chrom, run);
if (chrom.UsePCA)
{
trues++;
}
else
{
falses++;
}
});
Trace.WriteLine("Trues: " + trues);
Trace.WriteLine("Falses: " + falses);
((double)trues / falses).ShouldBeGreaterThan(0.9).ShouldBeLessThan(1.1);
}
public void InitialPopulationTest()
{
var mongoDb = TestHelpers.GetCleanDatabase();
var db = new Database(mongoDb);
var protoRun = new ProtoRun(db, "InitialPopulationTest", 3, Initialization.MakeFastestProtoChromosome(), 10, 6, 4, 5, 0.05);
var gen = Initialization.MakeInitialGeneration(MakeTrainingSet(db, "11/11/2001", "12/11/2001"),
new Run(protoRun, Initialization.MakeFastestProtoChromosome()),
new LocalParallelTrainer());
foreach (var mixture in gen.Mixtures)
{
var ordered = mixture.Chromosomes.OrderBy(c => c.OrderInMixture).ToArray();
var rnns = ordered.Take(6).ToArray();
var rbfs = ordered.Skip(6).ToArray();
rnns.Length.ShouldEqual(6);
rbfs.Length.ShouldEqual(4);
rnns.Select(c => c.NetworkType).Distinct().Single().ShouldEqual(NetworkType.Rnn);
rbfs.Select(c => c.NetworkType).Distinct().Single().ShouldEqual(NetworkType.Rbf);
}
}
public void GetObject()
{
var mongoDb = TestHelpers.GetCleanDatabase();
var db1 = new Database(mongoDb);
var protoRun = new ProtoRun(db1, "", 0, null, 0, 0, 0, 0, 0);
var run = new Run(protoRun, Initialization.MakeProtoChromosome());
var id = run.Id;
var db2 = new Database(mongoDb);
var db2Run = db2.Get <Run>(id);
db2Run.Database.ShouldNotBeNull();
db2Run.Database.ShouldNotEqual(db1);
db2Run.Id.ShouldEqual(run.Id);
db2Run.ProtoChromosome.ShouldLookLike(run.ProtoChromosome);
var db2Run2 = db2.Get <Run>(id);
db2Run2.ShouldLookLike(db2Run);
}
//[Test]
public void LocalEvolveTest()
{
var mongoDb = TestHelpers.GetCleanDatabase();
var db = new Database(mongoDb);
var protoRun = new ProtoRun(db, "LocalEvolveTest", 4, Initialization.MakeProtoChromosome(), 10, 6, 4, 4, 0.05);
var trainingStart = "11/11/2001";
var validationEnd = "05/12/2003";
var dataSets = MakeTrainingAndValidationSets(db, trainingStart, validationEnd);
var run = Functions.Evolve(protoRun, new LocalParallelTrainer(), dataSets.Item1, dataSets.Item2);
Trace.WriteLine("Generation fitnesses: " + run.Generations.Select(x => x.Evaluated.Fitness).Join(", "));
var bestMixtures = run.Generations.SelectMany(g => g.Mixtures).OrderByDescending(m => m.Evaluated.Fitness).Take(10).ToList();
var testingSet = MakeTrainingSet(db, validationEnd, "12/12/2003");
Lists.Repeat(bestMixtures.Count, i => {
var predictor = new MixturePredictor(bestMixtures[i], testingSet);
var testedFitness = Functions.ComputeFitness(predictor, testingSet, 20);
Trace.WriteLine(string.Format("Tested fitness for best mixture #{0}: {1}", i, testedFitness));
});
}
public void MixtureCrossover()
{
var db = new Database(TestHelpers.GetCleanDatabase());
var protoChrom = Initialization.MakeProtoChromosome();
var protoRun = new ProtoRun(db, "MixtureCrossoverTest", -1, protoChrom, 2, 6, 4, 10, 0.05);
var run = new Run(protoRun, protoChrom);
var seed = MakeTrainingSet(db, "11/11/2001", "12/11/2001");
var gen = Initialization.MakeInitialGeneration(seed, run, new LocalParallelTrainer());
gen.Mixtures.Length.ShouldEqual(2);
var m1 = gen.Mixtures[0];
var m2 = gen.Mixtures[1];
var prev = Tuple2.Create(m1.Chromosomes, m2.Chromosomes);
var cmis = Functions.CombineTwoMixtures(gen.Mixtures.Select(m => new MixtureEval(m, 1)).ToList());
var curr = Tuple2.Create(cmis.Item1.Chromosomes, cmis.Item2.Chromosomes);
for (int i = 0; i < m1.Chromosomes.Length; i++)
{
AssertIsCrossedOverVersionOf(Tuple2.Create(curr.Item1[i], curr.Item2[i]),
Tuple2.Create(prev.Item1[i], prev.Item2[i]));
}
}
public void Querying()
{
var mongoDb = TestHelpers.GetCleanDatabase();
var db1 = new Database(mongoDb);
var protoRun = new ProtoRun(db1, "", 0, null, 0, 0, 0, 0, 0);
var run1 = new Run(protoRun, Initialization.MakeProtoChromosome());
var run2 = new Run(protoRun, Initialization.MakeProtoChromosome());
var db2 = new Database(mongoDb);
var runs1 = db2.QueryAll <Run>(_ => true);
runs1.Length.ShouldEqual(2);
runs1[0].Id.ShouldEqual(run1.Id);
runs1[1].Id.ShouldEqual(run2.Id);
var runs2 = db2.QueryAll <Run>(x => x.Id == run1.Id);
var runs2Single = runs2.Single();
runs2Single.Id.ShouldEqual(run1.Id);
runs2Single.ShouldLookLike(runs1[0]);
runs2Single.ShouldNotEqual(runs1[0]);
runs2Single.Database.ShouldEqual(db2);
}
public void EvolveTest()
{
var mongoDb = TestHelpers.GetCleanDatabase();
var db = new Database(mongoDb);
var protoRun = new ProtoRun(db, "EvolveTest", 3, Initialization.MakeFastestProtoChromosome(), 10, 6, 4, 5, 0.05);
var dataSets = MakeTrainingAndValidationSets(db, "11/11/2001", "02/12/2002");
var run = Functions.Evolve(protoRun, new LocalParallelTrainer(), dataSets.Item1, dataSets.Item2);
run.Id.ShouldBeOfType <ObjectId>();
run.ProtoChromosome.Genes.Length.ShouldEqual(11);
run.Generations.Length.ShouldEqual(3);
run.Generations[0].Order.ShouldEqual(0);
run.Generations[1].Order.ShouldEqual(1);
run.Generations[2].Order.ShouldEqual(2);
var dbTypes = run.Generations[1].Mixtures.First().Experts.Select(x => x.Chromosome.DatabaseType).Distinct();
dbTypes.Count().ShouldEqual(2);
var gen2 = run.Generations[2];
gen2.Id.ShouldBeOfType <ObjectId>();
gen2.Mixtures.Count().ShouldEqual(10);
gen2.Mixtures.First().Experts.Count(x => x.Chromosome.NetworkType == NetworkType.Rnn).ShouldEqual(6);
gen2.Mixtures.First().Experts.Count(x => x.Chromosome.NetworkType == NetworkType.Rbf).ShouldEqual(4);
foreach (var gen in run.Generations)
{
foreach (var mixture in gen.Mixtures)
{
mixture.Chromosomes.Select(x => x.OrderInMixture).ShouldEnumerateLike(
mixture.Chromosomes.OrderBy(x => x.OrderInMixture).Select(x => x.OrderInMixture));
}
}
}
