public RlmOptimizer(IRlmDbData rlmDbData, IRlmRneuronProcessor gpu = null)
{
Resources = new Dictionary <string, Resource>();
ResourceAttributes = new Dictionary <string, ResourceAttribute>();
Constraints = new Dictionary <string, Constraint>();
CycleOutputs = new Dictionary <string, object>();
SessionOutputs = new Dictionary <string, List <object> >();
CycleInputs = new Dictionary <string, object>();
TrainingVariables.Add("CycleScore", new TrainingVariable()
{
Name = "CycleScore"
});
TrainingVariables.Add("SessionScore", new TrainingVariable()
{
Name = "SessionScore"
});
//if (!string.IsNullOrEmpty(databaseName))
//{
// DatabaseName = databaseName;
//}
RlmDbData = rlmDbData;
DatabaseName = rlmDbData.DatabaseName;
if (gpu != null)
{
Gpu = gpu;
}
}
/// <summary>
/// sets your preferred database name
/// </summary>
/// <param name="databaseName">Uses a custom database name instead of the default generated name</param>
/// <param name="persistData">Allows you to turn on/off the data persistence feature of the RLM. Turned on by default.</param>
public RlmNetwork(IRlmDbData rlmDbData, bool persistData = true, IRlmRneuronProcessor gpu = null)
{
PersistData = persistData;
this.RlmDBData = rlmDbData;
DatabaseName = rlmDbData.DatabaseName;
rlmDbData.Initialize();
SessionCaseHistory = new RlmSessionCaseHistory(rlmDbData);
Initialize(gpu);
}
/// <summary>
/// default contstructor, creates "RyskampLearningMachine" database
/// </summary>
/// <param name="persistData">Allows you to turn on/off the data persistence feature of the RLM. Turned on by default.</param>
public RlmNetwork(IRlmRneuronProcessor gpu = null)
{
PersistData = false;
if (PersistData)
{
DatabaseName = "RLM_" + Guid.NewGuid().ToString("n");//RlmDbEntities.DetermineDbName(); // todo migrate to ef core
}
Initialize(gpu);
}
private void Initialize(IRlmRneuronProcessor gpu = null)
{
MemoryManager = new Manager(this);
MemoryManager.DataPersistenceComplete += MemoryManager_DataPersistenceComplete;
MemoryManager.DataPersistenceProgress += MemoryManager_DataPersistenceProgress;
if (gpu != null)
{
GPURneuronProcessor = gpu;
GPURneuronProcessor.SetManagerReference(MemoryManager);
}
// default
MemoryManager.UseMomentumAvgValue = USE_MOM_AVG;
MemoryManager.MomentumAdjustment = MOMENTUM_ADJUSTMENT;
MemoryManager.CacheBoxMargin = CACHE_MARGIN;
}
