Standard instance of IGeneticTrainer. More...
Inheritance diagram for SmartEngine.NeuralNetworks.GeneticTrainer:
Classes | |
| class | CInfo |
| Constructor info More... | |
Public Member Functions | |
| GeneticTrainer (CInfo cinfo) | |
| void | Initialize (NeuralNetworks.GeneticTrainerInitializationInfo info) |
| IGeneticTrainer implementation. More... | |
| void | Step () |
| IGeneticTrainer implementation. More... | |
| void | SortPopulation () |
| IGeneticTrainer implementation. More... | |
| int | GetChromosomeLastIndex (int index) |
| IGeneticTrainer implementation. More... | |
| void | SetChromosome (int index) |
| IGeneticTrainer implementation. More... | |
| void | SetBestChromosome () |
| IGeneticTrainer implementation. More... | |
| void | CopyOutChromosome (int index, Graph graph) |
| IGeneticTrainer implementation. More... | |
| void | CopyOutBestChromosome (Graph graph) |
| IGeneticTrainer implementation. More... | |
| void | CopyOutTopAverage (float count, Graph graph, bool weightedAverage) |
| IGeneticTrainer implementation. More... | |
| void | SetTrainingInfo (NeuralNetworks.GeneticTrainingInfo info) |
| IGeneticTrainer implementation. More... | |
| float | GetLoss (int index) |
| IGeneticTrainer implementation. More... | |
| void | SetLoss (int index, float loss) |
| IGeneticTrainer implementation. More... | |
 Public Member Functions inherited from SmartEngine.NeuralNetworks.LossTrainer | |
| unsafe void | SetTrainingMethod (SmartEngine.NeuralNetworks.LossTrainingMethodInfo info) |
| Sets the training method and associated parameters More... | |
| Public Member Functions inherited from SmartEngine.Resource | |
| SerializationResult | Load (string appendName=null) |
| Load this object from disk. More... | |
| SerializationResult | Save (string appendName=null) |
| Save this object to disk. More... | |
| SerializationResult | Serialize (MemoryBuffer buffer) |
| Write the contents of this object to a buffer. More... | |
| SerializationResult | Serialize (out byte[] data) |
| Write the contents of this object to a byte array. More... | |
| SerializationResult | Deserialize (MemoryBuffer buffer) |
| Fill this object with contents from a buffer. More... | |
| SerializationResult | Deserialize (byte[] data) |
| Fill this object with contents from a byte array. More... | |
| Public Member Functions inherited from SmartEngine.Object | |
| void | AddRef () |
| Increments the internal reference count on this object. It is not common to use this method directly. More... | |
| void | Release () |
| Decrements the internal reference count on this object. It is not common to use this method directly. More... | |
| Public Member Functions inherited from SmartEngine.Disposable | |
| void | Dispose () |
| Cleans up any internal state. It is not safe to use an object after it has been disposed. More... | |
| Public Member Functions inherited from SmartEngine.NeuralNetworks.IGeneticTrainer | |
| void | Initialize (GeneticTrainerInitializationInfo info) |
| Initializes the newtwork with a new population. Not necessary to call if deserializing from disk. More... | |
| void | SetTrainingMethod (LossTrainingMethodInfo info) |
| Sets the training method and associated parameters More... | |
| void | SetTrainingInfo (GeneticTrainingInfo info) |
| Sets the genetic parameters of the trainer. More... | |
| SerializationResult | Load (string appendName=null) |
| Load this object from disk. More... | |
| SerializationResult | Save (string appendName=null) |
| Save this object to disk. More... | |
Properties | |
| int | PopulationCount [get] |
| IGeneticTrainer implementation. More... | |
| float | MutationStandardDeviation [get] |
| IGeneticTrainer implementation. More... | |
| Properties inherited from SmartEngine.NeuralNetworks.LossTrainer | |
| uint | GenerationCount [get] |
| Returns the number of generations we have been training for. More... | |
| float | Loss [get] |
| Returns the loss in the graph. More... | |
| Properties inherited from SmartEngine.Resource | |
| string | ResourceName [get] |
| Returns the name of this resource passed to the constructor. More... | |
| SerializationResult | LastLoadResult [get] |
| Returns the result of the last call to Load(). Useful for checking loaded data state after creation. More... | |
| Properties inherited from SmartEngine.NeuralNetworks.IGeneticTrainer | |
| string | ResourceName [get] |
| Returns the name of this resource passed to the constructor. More... | |
| uint | GenerationCount [get] |
| Returns the number of generations we have been training for. More... | |
| float | Loss [get] |
| Returns the loss in the graph. More... | |
| int | PopulationCount [get] |
| Retrieves the total number of chromosomes (test subjects) in the population. More... | |
| float | MutationStandardDeviation [get] |
| Returns the current mutation standard deviation, taking into account adaptive behavior More... | |
Detailed Description
Standard instance of IGeneticTrainer.
Member Function Documentation
◆ CopyOutBestChromosome()
| void SmartEngine.NeuralNetworks.GeneticTrainer.CopyOutBestChromosome | ( | Graph | graph | ) |
IGeneticTrainer implementation.
Implements SmartEngine.NeuralNetworks.IGeneticTrainer.
◆ CopyOutChromosome()
| void SmartEngine.NeuralNetworks.GeneticTrainer.CopyOutChromosome | ( | int | index, |
| Graph | graph | ||
| ) |
IGeneticTrainer implementation.
Implements SmartEngine.NeuralNetworks.IGeneticTrainer.
◆ CopyOutTopAverage()
| void SmartEngine.NeuralNetworks.GeneticTrainer.CopyOutTopAverage | ( | float | count, |
| Graph | graph, | ||
| bool | weightedAverage | ||
| ) |
IGeneticTrainer implementation.
Implements SmartEngine.NeuralNetworks.IGeneticTrainer.
◆ GetChromosomeLastIndex()
| int SmartEngine.NeuralNetworks.GeneticTrainer.GetChromosomeLastIndex | ( | int | index | ) |
IGeneticTrainer implementation.
Implements SmartEngine.NeuralNetworks.IGeneticTrainer.
◆ GetLoss()
| float SmartEngine.NeuralNetworks.GeneticTrainer.GetLoss | ( | int | index | ) |
IGeneticTrainer implementation.
Implements SmartEngine.NeuralNetworks.IGeneticTrainer.
◆ Initialize()
| void SmartEngine.NeuralNetworks.GeneticTrainer.Initialize | ( | NeuralNetworks.GeneticTrainerInitializationInfo | info | ) |
IGeneticTrainer implementation.
◆ SetBestChromosome()
| void SmartEngine.NeuralNetworks.GeneticTrainer.SetBestChromosome | ( | ) |
IGeneticTrainer implementation.
Implements SmartEngine.NeuralNetworks.IGeneticTrainer.
◆ SetChromosome()
| void SmartEngine.NeuralNetworks.GeneticTrainer.SetChromosome | ( | int | index | ) |
IGeneticTrainer implementation.
Implements SmartEngine.NeuralNetworks.IGeneticTrainer.
◆ SetLoss()
| void SmartEngine.NeuralNetworks.GeneticTrainer.SetLoss | ( | int | index, |
| float | loss | ||
| ) |
IGeneticTrainer implementation.
Implements SmartEngine.NeuralNetworks.IGeneticTrainer.
◆ SetTrainingInfo()
| void SmartEngine.NeuralNetworks.GeneticTrainer.SetTrainingInfo | ( | NeuralNetworks.GeneticTrainingInfo | info | ) |
IGeneticTrainer implementation.
◆ SortPopulation()
| void SmartEngine.NeuralNetworks.GeneticTrainer.SortPopulation | ( | ) |
IGeneticTrainer implementation.
Implements SmartEngine.NeuralNetworks.IGeneticTrainer.
◆ Step()
| void SmartEngine.NeuralNetworks.GeneticTrainer.Step | ( | ) |
IGeneticTrainer implementation.
Implements SmartEngine.NeuralNetworks.IGeneticTrainer.
Property Documentation
◆ MutationStandardDeviation
|
get |
IGeneticTrainer implementation.
◆ PopulationCount
|
get |
IGeneticTrainer implementation.
