示例#1
0
        public void DumpSetting()
        {
            Logger.WriteLine("Model File: {0}", ModelFile);
            Logger.WriteLine("Hidden Layer Type: {0}", ModelType.ToString());
            Logger.WriteLine("Output Layer Type: {0}", OutputLayerType.ToString());

            if (ModelDirection == 0)
            {
                Logger.WriteLine("RNN Direction: Forward");
            }
            else
            {
                Logger.WriteLine("RNN Direction: Bi-directional");
            }

            Logger.WriteLine("Learning rate: {0}", LearningRate);
            Logger.WriteLine("Dropout: {0}", Dropout);
            Logger.WriteLine("Max Iteration: {0}", MaxIteration);
            Logger.WriteLine("Hidden layers: {0}", HiddenLayerSizeList.Count);
            Logger.WriteLine("RNN-CRF: {0}", IsCRFTraining);
            Logger.WriteLine("SIMD: {0}, Size: {1}bits", System.Numerics.Vector.IsHardwareAccelerated,
                             Vector <double> .Count * sizeof(double) * 8);
            Logger.WriteLine("Gradient cut-off: {0}", GradientCutoff);
            if (SaveStep > 0)
            {
                Logger.WriteLine("Save temporary model after every {0} sentences", SaveStep);
            }
        }