1 write to _numLogLossNegatives
Microsoft.ML.Data (1)
Evaluators\BinaryClassifierEvaluator.cs (1)
524_numLogLossNegatives += weight;
5 references to _numLogLossNegatives
Microsoft.ML.Data (5)
Evaluators\BinaryClassifierEvaluator.cs (5)
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);