1 write to _numLogLossPositives
Microsoft.ML.Data (1)
Evaluators\BinaryClassifierEvaluator.cs (1)
522_numLogLossPositives += weight;
6 references to _numLogLossPositives
Microsoft.ML.Data (6)
Evaluators\BinaryClassifierEvaluator.cs (6)
465return Double.IsNaN(_logLoss) ? Double.NaN : (_numLogLossPositives + _numLogLossNegatives > 0) 466? _logLoss / (_numLogLossPositives + _numLogLossNegatives) : 0; 474if (_numLogLossPositives + _numLogLossNegatives == 0) 476var logLoss = _logLoss / (_numLogLossPositives + _numLogLossNegatives); 477var priorPos = _numLogLossPositives / (_numLogLossPositives + _numLogLossNegatives);