public AllFeatures()
{
this.features = new List<Feature>();
this.Success = new FeatureSuccess();
featureType = Logger.Inst.GetString("FeatureType");
featureType2 = Logger.Inst.GetString("FeatureType2");
this.attractivenessPurgeThreshold = Logger.Inst.GetDouble("attractivenessPurgeThreshold");
this.interestingnessPurgeThreshold = Logger.Inst.GetDouble("interestingnessPurgeThreshold");
this.usePixelFeatures = Logger.Inst.GetBool("usePixelFeatures");
}
public Processor(Func<SingleFeature> FeatureGenerator,
string processName = "", int featureCount = 5000, string filepath = @"C:\Users\Amichai\Data\digits.csv")
{
this.loader = new InputLoader();
this.loader.LoadFile(filepath);
this.allfeatures = new AllFeatures(featureCount, 28, FeatureGenerator);
this.success = new FeatureSuccess();
processID = processCounter++;
this.Name = processName;
this.LogFileLocation = @"C:\IR\" + DateTime.Now.ToLongTimeString().Replace(":", ".").Replace(" ", "") + "_" + this.processID.ToString() + ".txt";
}
public SingleFeature(IValGenerator generator)
{
//this.pastVals = new List<Tuple<double, string>>();
this.labelCount = new Dictionary<string, int>();
this.totalHits = 0;
this.hitsPerLabel = new Dictionary<string, int>();
this.valGenerator = generator;
this.binMax = null;
this.binMin = null;
this.firstVal = null;
this.success = new FeatureSuccess();
}
public AllFeatures()
{
this.features = new Dictionary<Feature.FType, List<Feature>>();
this.Success = new FeatureSuccess();
featureType = Logger.Inst.GetString("FeatureType");
featureType2 = Logger.Inst.GetString("FeatureType2");
this.attractivenessPurgeThreshold = Logger.Inst.GetDouble("attractivenessPurgeThreshold");
this.interestingnessPurgeThreshold = Logger.Inst.GetDouble("interestingnessPurgeThreshold");
this.usePixelFeatures = Logger.Inst.GetBool("usePixelFeatures");
this.weighFeaturesOnSuccess = Logger.Inst.GetBool("WeighFeaturesBySuccess");
this.gaussian = Logger.Inst.GetBool("PixelProdGaussianDist");
}