/// <summary>
/// Creates a new instance of <see cref="INeatExperiment{T}"/> using experiment configuration settings
/// from the provided json object model.
/// </summary>
/// <param name="configElem">Experiment config in json form.</param>
/// <returns>A new instance of <see cref="INeatExperiment{T}"/>.</returns>
public INeatExperiment <double> CreateExperiment(JsonElement configElem)
{
// Read the customEvaluationSchemeConfig section.
ReadEvaluationSchemeConfig(
configElem,
out Func <double, double> fn,
out ParamSamplingInfo paramSamplingInfo,
out double gradientMseWeight);
// Create an evaluation scheme object for the generative sinewave task; using the evaluation scheme
// config read from json.
var evalScheme = new GenerativeFnRegressionEvaluationScheme(fn, paramSamplingInfo, gradientMseWeight);
// Create a NeatExperiment object with the evaluation scheme,
// and assign some default settings (these can be overridden by config).
var experiment = new NeatExperiment <double>(evalScheme, this.Id)
{
IsAcyclic = false,
CyclesPerActivation = 1,
ActivationFnName = ActivationFunctionId.LeakyReLU.ToString()
};
// Read standard neat experiment json config and use it configure the experiment.
NeatExperimentJsonReader <double> .Read(experiment, configElem);
return(experiment);
}
/// <summary>
/// Creates a new instance of <see cref="INeatExperiment{T}"/> using experiment configuration settings
/// from the provided json object model.
/// </summary>
/// <param name="configElem">Experiment config in json form.</param>
/// <returns>A new instance of <see cref="INeatExperiment{T}"/>.</returns>
public INeatExperiment <double> CreateExperiment(JsonElement configElem)
{
// Read the customEvaluationSchemeConfig section.
ReadEvaluationSchemeConfig(
configElem,
out int preyInitMoves,
out float preySpeed,
out float sensorRange,
out int maxTimesteps,
out int trialsPerEvaluation);
// Create an evaluation scheme object for the prey capture task.
var evalScheme = new PreyCaptureEvaluationScheme(
preyInitMoves, preySpeed,
sensorRange, maxTimesteps, trialsPerEvaluation);
// Create a NeatExperiment object with the evaluation scheme,
// and assign some default settings (these can be overridden by config).
var experiment = new NeatExperiment <double>(evalScheme, this.Id)
{
IsAcyclic = false,
CyclesPerActivation = 1,
ActivationFnName = ActivationFunctionId.LeakyReLU.ToString()
};
// Read standard neat experiment json config and use it configure the experiment.
NeatExperimentJsonReader <double> .Read(experiment, configElem);
return(experiment);
}
/// <summary>
/// Create a new instance of <see cref="INeatExperiment{T}"/>.
/// </summary>
/// <param name="jsonConfig">Experiment config in json format.</param>
/// <returns>A new instance of <see cref="INeatExperiment{T}"/>.</returns>
public INeatExperiment <double> CreateExperiment(string jsonConfig)
{
// Parse the json config string.
JObject configJobj = JObject.Parse(jsonConfig);
// Read the customEvaluationSchemeConfig section.
ReadEvaluationSchemeConfig(
configJobj,
out Func <double, double> fn,
out ParamSamplingInfo paramSamplingInfo,
out double gradientMseWeight);
// Create an evaluation scheme object for the generative sinewave task; using the evaluation scheme
// config read from json.
var evalScheme = new GenerativeFnRegressionEvaluationScheme(fn, paramSamplingInfo, gradientMseWeight);
// Create a NeatExperiment object with the configured evaluation scheme.
var experiment = NeatExperiment <double> .CreateCyclic(
"Generative Function Regression",
evalScheme,
__DefaultActivationFunctionName.ToString(),
1);
// Read standard neat experiment json config and use it configure the experiment.
NeatExperimentJsonReader <double> .Read(experiment, configJobj);
return(experiment);
}
/// <summary>
/// Create a new instance of <see cref="INeatExperiment{T}"/>.
/// </summary>
/// <param name="configElem">Experiment config in json form.</param>
/// <returns>A new instance of <see cref="INeatExperiment{T}"/>.</returns>
public INeatExperiment<double> CreateExperiment(JsonElement configElem)
{
// Create an evaluation scheme object for the binary 11-multiplexer task.
var evalScheme = new BinaryElevenMultiplexerEvaluationScheme();
// Create a NeatExperiment object with the evaluation scheme,
// and assign some default settings (these can be overridden by config).
var experiment = new NeatExperiment<double>(evalScheme, this.Id)
{
IsAcyclic = true,
ActivationFnName = ActivationFunctionId.LeakyReLU.ToString()
};
// Read standard neat experiment json config and use it configure the experiment.
NeatExperimentJsonReader<double>.Read(experiment, configElem);
return experiment;
}
/// <summary>
/// Create a new instance of <see cref="INeatExperiment{T}"/>.
/// </summary>
/// <param name="configElem">Experiment config in json form.</param>
/// <returns>A new instance of <see cref="INeatExperiment{T}"/>.</returns>
public INeatExperiment <double> CreateExperiment(JsonElement configElem)
{
// Create an evaluation scheme object for the Single Pole Balancing task.
var evalScheme = new CartSinglePoleEvaluationScheme();
// Create a NeatExperiment object with the evaluation scheme,
// and assign some default settings (these can be overridden by config).
var experiment = new NeatExperiment <double>("Cart and Pole Balancing (Single Pole)", evalScheme)
{
IsAcyclic = true,
ActivationFnName = ActivationFunctionId.LogisticSteep.ToString()
};
// Read standard neat experiment json config and use it configure the experiment.
NeatExperimentJsonReader <double> .Read(experiment, configElem);
return(experiment);
}
/// <summary>
/// Create a new instance of <see cref="INeatExperiment{T}"/>.
/// </summary>
/// <param name="configElem">Experiment config in json form.</param>
/// <returns>A new instance of <see cref="INeatExperiment{T}"/>.</returns>
public INeatExperiment <double> CreateExperiment(JsonElement configElem)
{
// Create an evaluation scheme object for the XOR task.
var evalScheme = new XorEvaluationScheme();
// Create a NeatExperiment object with the evaluation scheme,
// and assign some default settings (these can be overridden by config).
var experiment = new NeatExperiment <double>("XOR (Exclusive OR)", evalScheme)
{
IsAcyclic = true,
ActivationFnName = __DefaultActivationFunctionName.ToString()
};
// Read standard neat experiment json config and use it configure the experiment.
NeatExperimentJsonReader <double> .Read(experiment, configElem);
return(experiment);
}
/// <summary>
/// Create a new instance of <see cref="INeatExperiment{T}"/>.
/// </summary>
/// <param name="jsonConfig">Experiment config in json format.</param>
/// <returns>A new instance of <see cref="INeatExperiment{T}"/>.</returns>
public INeatExperiment <double> CreateExperiment(string jsonConfig)
{
// Parse the json config string.
JObject configJobj = JsonUtils.Parse(jsonConfig);
// Create an evaluation scheme object for the Single Pole Balancing task.
var evalScheme = new CartDoublePoleEvaluationScheme();
// Create a NeatExperiment object with the evaluation scheme.
var experiment = NeatExperiment <double> .CreateAcyclic(
"Cart and Pole Balancing (Double Pole)",
evalScheme,
__DefaultActivationFunctionName.ToString());
// Read standard neat experiment json config and use it configure the experiment.
if (configJobj != null)
{
NeatExperimentJsonReader <double> .Read(experiment, configJobj);
}
return(experiment);
}
/// <summary>
/// Create a new instance of <see cref="INeatExperiment{T}"/>.
/// </summary>
/// <param name="jsonConfig">Experiment config in json format.</param>
/// <returns>A new instance of <see cref="INeatExperiment{T}"/>.</returns>
public INeatExperiment <double> CreateExperiment(string jsonConfig)
{
// Parse the json config string.
JObject configJobj = JsonUtils.Parse(jsonConfig);
// Create an evaluation scheme object for the binary 11-multiplexer task.
var evalScheme = new BinaryElevenMultiplexerEvaluationScheme();
// Create a NeatExperiment object with the evaluation scheme.
var experiment = NeatExperiment <double> .CreateAcyclic(
"Binary 11-multiplexer",
evalScheme,
__DefaultActivationFunctionName.ToString());
// Read standard neat experiment json config and use it configure the experiment.
if (configJobj != null)
{
NeatExperimentJsonReader <double> .Read(experiment, configJobj);
}
return(experiment);
}
public void Read()
{
JsonDocument jdoc = JsonDocument.Parse(
@"{
""description"":""bar description"",
""isAcyclic"":false,
""cyclesPerActivation"":111,
""activationFnName"":""bar-activation-fn"",
""evolutionAlgorithmSettings"":
{
""speciesCount"":1111,
""elitismProportion"":0.11,
""selectionProportion"":0.22,
""offspringAsexualProportion"":0.39,
""offspringSexualProportion"":0.61,
""interspeciesMatingProportion"":0.55,
""statisticsMovingAverageHistoryLength"":2222
},
""reproductionAsexualSettings"":
{
""connectionWeightMutationProbability"":0.11,
""addNodeMutationProbability"":0.22,
""addConnectionMutationProbability"":0.33,
""deleteConnectionMutationProbability"":0.34
},
""reproductionSexualSettings"":
{
""secondaryParentGeneProbability"":0.11
},
""populationSize"":222,
""initialInterconnectionsProportion"":0.33,
""connectionWeightScale"":4.44,
""complexityRegulationStrategy"":
{
""strategyName"": ""absolute"",
""complexityCeiling"": 10,
""minSimplifcationGenerations"": 10
},
""enableHardwareAcceleratedNeuralNets"":true,
""enableHardwareAcceleratedActivationFunctions"":true,
""degreeOfParallelism"":6
}");
// Create a mock evaluation scheme.
var evalScheme = new Mock <IBlackBoxEvaluationScheme <double> >();
// Init a default settings object.
var experiment = new NeatExperiment <double>(
evalScheme.Object, "foo-experiment");
// Read json properties into the experiment object.
NeatExperimentJsonReader <double> .Read(experiment, jdoc.RootElement);
// Assert the expected values.
Assert.Equal("bar description", experiment.Description);
Assert.False(experiment.IsAcyclic);
Assert.Equal(111, experiment.CyclesPerActivation);
Assert.Equal("bar-activation-fn", experiment.ActivationFnName);
var eaSettings = experiment.NeatEvolutionAlgorithmSettings;
Assert.Equal(1111, eaSettings.SpeciesCount);
Assert.Equal(0.11, eaSettings.ElitismProportion);
Assert.Equal(0.22, eaSettings.SelectionProportion);
Assert.Equal(0.39, eaSettings.OffspringAsexualProportion);
Assert.Equal(0.61, eaSettings.OffspringSexualProportion);
Assert.Equal(0.55, eaSettings.InterspeciesMatingProportion);
Assert.Equal(2222, eaSettings.StatisticsMovingAverageHistoryLength);
var asexualSettings = experiment.ReproductionAsexualSettings;
Assert.Equal(0.11, asexualSettings.ConnectionWeightMutationProbability);
Assert.Equal(0.22, asexualSettings.AddNodeMutationProbability);
Assert.Equal(0.33, asexualSettings.AddConnectionMutationProbability);
Assert.Equal(0.34, asexualSettings.DeleteConnectionMutationProbability);
var sexualSettings = experiment.ReproductionSexualSettings;
Assert.Equal(0.11, sexualSettings.SecondaryParentGeneProbability);
Assert.Equal(222, experiment.PopulationSize);
Assert.Equal(0.33, experiment.InitialInterconnectionsProportion);
Assert.Equal(4.44, experiment.ConnectionWeightScale);
var complexityRegulationStrategy = experiment.ComplexityRegulationStrategy;
Assert.Equal("AbsoluteComplexityRegulationStrategy", complexityRegulationStrategy.GetType().Name);
Assert.Equal(6, experiment.DegreeOfParallelism);
Assert.True(experiment.EnableHardwareAcceleratedNeuralNets);
Assert.True(experiment.EnableHardwareAcceleratedActivationFunctions);
}
public void Read()
{
JObject jobj = JObject.Parse(
@"{
'description':'bar description',
'isAcyclic':false,
'cyclesPerActivation':111,
'activationFnName':'bar-activation-fn',
'evolutionAlgorithmSettings':
{
'speciesCount':1111,
'elitismProportion':0.11,
'selectionProportion':0.22,
'offspringAsexualProportion':0.33,
'offspringSexualProportion':0.44,
'interspeciesMatingProportion':0.55,
'statisticsMovingAverageHistoryLength':2222
},
'reproductionAsexualSettings':
{
'connectionWeightMutationProbability':0.11,
'addNodeMutationProbability':0.22,
'addConnectionMutationProbability':0.33,
'deleteConnectionMutationProbability':0.44
},
'reproductionSexualSettings':
{
'secondaryParentGeneProbability':0.11
},
'populationSize':222,
'initialInterconnectionsProportion':0.33,
'connectionWeightScale':4.44,
'complexityRegulationStrategy':
{
'strategyName': 'absolute',
'complexityCeiling': 10,
'minSimplifcationGenerations': 10
},
'enableHardwareAcceleratedNeuralNets':true,
'enableHardwareAcceleratedActivationFunctions':true,
'degreeOfParallelism':6
}");
// Create a mock evaluation scheme.
var evalScheme = new Mock <IBlackBoxEvaluationScheme <double> >();
// Init a default settings object.
var experiment = NeatExperiment <double> .CreateAcyclic(
"foo-experiment",
evalScheme.Object,
"foo-activation-fn");
// Read json properties into the experiment object.
NeatExperimentJsonReader <double> .Read(experiment, jobj);
// Assert the expected values.
Assert.AreEqual("bar description", experiment.Description);
Assert.AreEqual(false, experiment.IsAcyclic);
Assert.AreEqual(111, experiment.CyclesPerActivation);
Assert.AreEqual("bar-activation-fn", experiment.ActivationFnName);
var eaSettings = experiment.NeatEvolutionAlgorithmSettings;
Assert.AreEqual(1111, eaSettings.SpeciesCount);
Assert.AreEqual(0.11, eaSettings.ElitismProportion);
Assert.AreEqual(0.22, eaSettings.SelectionProportion);
Assert.AreEqual(0.33, eaSettings.OffspringAsexualProportion);
Assert.AreEqual(0.44, eaSettings.OffspringSexualProportion);
Assert.AreEqual(0.55, eaSettings.InterspeciesMatingProportion);
Assert.AreEqual(2222, eaSettings.StatisticsMovingAverageHistoryLength);
var asexualSettings = experiment.ReproductionAsexualSettings;
Assert.AreEqual(0.11, asexualSettings.ConnectionWeightMutationProbability);
Assert.AreEqual(0.22, asexualSettings.AddNodeMutationProbability);
Assert.AreEqual(0.33, asexualSettings.AddConnectionMutationProbability);
Assert.AreEqual(0.44, asexualSettings.DeleteConnectionMutationProbability);
var sexualSettings = experiment.ReproductionSexualSettings;
Assert.AreEqual(0.11, sexualSettings.SecondaryParentGeneProbability);
Assert.AreEqual(222, experiment.PopulationSize);
Assert.AreEqual(0.33, experiment.InitialInterconnectionsProportion);
Assert.AreEqual(4.44, experiment.ConnectionWeightScale);
var complexityRegulationStrategy = experiment.ComplexityRegulationStrategy;
Assert.AreEqual("AbsoluteComplexityRegulationStrategy", complexityRegulationStrategy.GetType().Name);
Assert.AreEqual(6, experiment.DegreeOfParallelism);
Assert.AreEqual(true, experiment.EnableHardwareAcceleratedNeuralNets);
Assert.AreEqual(true, experiment.EnableHardwareAcceleratedActivationFunctions);
}
