1 write to _options
Microsoft.ML.StandardTrainers (1)
LdSvm\LdSvmTrainer.cs (1)
172_options = options;
14 references to _options
Microsoft.ML.StandardTrainers (14)
LdSvm\LdSvmTrainer.cs (14)
197var numLeaf = 1 << _options.TreeDepth; 246gamma *= (float)Math.Pow(2.0, iter / (_options.NumberOfIterations / 10.0)); 275Data data = _options.Cache ? 285for (int iter = 1; iter <= _options.NumberOfIterations; iter++) 292float etaTW = (float)1.0 / (_options.LambdaW * (float)Math.Sqrt(iter + 1)); 293float etaTTheta = (float)1.0 / (_options.LambdaTheta * (float)Math.Sqrt(iter + 1)); 294float etaTThetaPrime = (float)1.0 / (_options.LambdaThetaprime * (float)Math.Sqrt(iter + 1)); 331localWt[l] = (float)Math.Tanh(_options.Sigma * (VectorUtils.DotProduct(in features, in thetaPrime[l]) + biasThetaPrime[l])); 349int biasUpdateMult = _options.UseBias ? 1 : 0; 393return new LdSvmModelParameters(Host, w, thetaPrime, theta, _options.Sigma, biasW, biasTheta, 394biasThetaPrime, _options.TreeDepth); 441if (_options.UseBias) 457if (_options.UseBias) 666=> new BinaryPredictionTransformer<LdSvmModelParameters>(Host, model, trainSchema, _options.FeatureColumnName);