public void Init(ConfigScript script, string config)
{
_inputCount = script.DetermineRawInputCount();
_outputCount = script.DetermineRawOutputCount();
// parse out name-value pairs
Dictionary <string, string> pairs =
config.Split(',')
.Select(x => x.Split('='))
.ToDictionary(y => y[0], y => y[1]);
_rbfCount = int.Parse(pairs["rbf"]);
// calculate input and output weight counts
// add 1 to output to account for an extra bias node
int inputWeightCount = _inputCount * _rbfCount;
int outputWeightCount = (_rbfCount + 1) * _outputCount;
int rbfParams = (_inputCount + 1) * _rbfCount;
_genomeSize = inputWeightCount + outputWeightCount + rbfParams;
_indexInputWeights = 0;
_indexRBFParams = inputWeightCount;
_indexOutputWeights = _indexRBFParams + rbfParams;
_cutLength = _genomeSize / script.MaxParents;
if (_cutLength < 1)
{
_cutLength = 1;
}
}
public double[][] GenerateIdealData()
{
var result = new double[_data.Count][];
int rawColCount = _config.DetermineRawOutputCount();
int colCount = _headers.Count;
for (int row = 0; row < _data.Count; row++)
{
result[row] = new double[rawColCount];
int targetIndex = 0;
for (int col = 0; col < colCount; col++)
{
string columnName = _headers[col];
if (string.Compare(columnName, _config.PredictField, true) == 0)
{
DataField df = _config.FieldMap[columnName];
targetIndex = df.Normalize(result[row], targetIndex, _data[row][col]);
}
}
}
return(result);
}
