/// <summary>
/// Initialize all columns inside of partition and connect them to sensory input.
/// It returns the average connected span of the partition.
/// </summary>
/// <param name="msg"></param>
private void createAndConnectColumns(ConnectAndConfigureColumnsMsg msg)
{
DateTime startTime = DateTime.Now;
Log(msg, Self, "Entered.");
List <double> avgConnections = new List <double>();
Random rnd;
if (this.config.RandomGenSeed > 0)
{
rnd = new Random(this.config.RandomGenSeed);
}
else
{
rnd = new Random();
}
if (this.dict.Count == 0)
{
}
foreach (var element in this.dict)
{
if (this.config == null)
{
throw new ArgumentException($"HtmConfig must be set in the message.");
}
int colIndx = (int)element.Key;
// Gets RF
var potential = HtmCompute.MapPotential(this.config, colIndx, rnd);
var column = (Column)this.dict[colIndx];
// This line initializes all synases in the potential pool of synapses.
// It creates the pool on proximal dendrite segment of the column.
// After initialization permancences are set to zero.
//connectColumnToInputRF(c.HtmConfig, data.Potential, data.Column);
column.CreatePotentialPool(this.config, potential, -1);
var perms = HtmCompute.InitSynapsePermanences(this.config, potential, rnd);
avgConnections.Add(HtmCompute.CalcAvgSpanOfConnectedSynapses(column, this.config));
//Log(msg, Self, $".:). {dict.Count}/{dict.Keys.Min()}/{dict.Keys.Min()} - duration: {(DateTime.Now - startTime).TotalSeconds}");
HtmCompute.UpdatePermanencesForColumn(this.config, perms, column, potential, true);
}
double avgConnectedSpan = ArrayUtils.average(avgConnections.ToArray());
Log(msg, Self, "Completed.");
Sender.Tell(avgConnectedSpan, Self);
Log(msg, Self, $"Response sent. {(DateTime.Now - startTime).TotalSeconds}");
}
/// <summary>
/// Initialize all columns inside of partition and connect them to sensory input.
/// It returns the average connected span of the partition.
/// </summary>
/// <param name="msg"></param>
//TODO remove unnecessary argument
private double CreateAndConnectColumns(ConnectAndConfigureColumnsMsg msg)
{
Debug.Write(".");
List <double> avgConnections = new List <double>();
Random rnd;
if (this.HtmConfig.RandomGenSeed > 0)
{
rnd = new Random(this.HtmConfig.RandomGenSeed);
}
else
{
rnd = new Random();
}
foreach (var element in this.Dict)
{
if (this.HtmConfig == null)
{
throw new ArgumentException($"HtmConfig must be set in the message.");
}
int colIndx = -1;
Column column;
if (element.Key is string)
{
if (!int.TryParse(element.Key as string, out colIndx))
{
throw new ArgumentException($"The key must be of type 'int' or string convertable to 'int");
}
column = (Column)this.Dict[element.Key];
}
else
{
colIndx = (int)element.Key;
column = (Column)this.Dict[colIndx];
}
// Gets RF
var potential = HtmCompute.MapPotential(this.HtmConfig, colIndx, rnd);
// This line initializes all synases in the potential pool of synapses.
// It creates the pool on proximal dendrite segment of the column.
// After initialization permancences are set to zero.
//connectColumnToInputRF(c.HtmConfig, data.Potential, data.Column);
column.CreatePotentialPool(this.HtmConfig, potential, -1);
var perms = HtmCompute.InitSynapsePermanences(this.HtmConfig, potential, rnd);
avgConnections.Add(HtmCompute.CalcAvgSpanOfConnectedSynapses(column, this.HtmConfig));
HtmCompute.UpdatePermanencesForColumn(this.HtmConfig, perms, column, potential, true);
}
Debug.Write(".");
double avgConnectedSpan = ArrayUtils.Average(avgConnections.ToArray());
Debug.Write(".");
return(avgConnectedSpan);
}