rmontanana/BayesNet
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Set intolerant convergence

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This commit is contained in:
Ricardo Montañana Gómez 2023-11-17 10:26:25 +01:00
parent d3cb580387
commit e8d2c9fc0b
Signed by: rmontanana
GPG Key ID: 46064262FD9A7ADE
1 changed files with 2 additions and 1 deletions
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src/BayesNet/BoostAODE.cc
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@ -108,8 +108,10 @@ namespace bayesnet {
void BoostAODE::trainModel(const torch::Tensor& weights) void BoostAODE::trainModel(const torch::Tensor& weights)
{ {
std::unordered_set<int> featuresUsed; std::unordered_set<int> featuresUsed;
int tolerance = 5; // number of times the accuracy can be lower than the threshold
if (selectFeatures) { if (selectFeatures) {
featuresUsed = initializeModels(); featuresUsed = initializeModels();
tolerance = 0; // Remove tolerance if features are selected
} }
if (maxModels == 0) if (maxModels == 0)
maxModels = .1 * n > 10 ? .1 * n : n; maxModels = .1 * n > 10 ? .1 * n : n;
@ -119,7 +121,6 @@ namespace bayesnet {
double priorAccuracy = 0.0; double priorAccuracy = 0.0;
double delta = 1.0; double delta = 1.0;
double threshold = 1e-4; double threshold = 1e-4;
int tolerance = 5; // number of times the accuracy can be lower than the threshold
int count = 0; // number of times the accuracy is lower than the threshold int count = 0; // number of times the accuracy is lower than the threshold
fitted = true; // to enable predict fitted = true; // to enable predict
// Step 0: Set the finish condition // Step 0: Set the finish condition