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Construct at least a 2x2 network to classify tracks. fixes #116

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This commit is contained in:
emeric
2021-03-03 17:42:39 +01:00
parent a370529392
commit b94fe3e852
1 changed files with 6 additions and 1 deletions
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src/libs/recommendation/impl/features/FeaturesClassifier.cpp
+6 -1
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@@ -194,7 +194,12 @@ FeaturesClassifier::loadFromTraining(Database::Session& session, const TrainSett
for (auto& sample : samples) for (auto& sample : samples)
dataNormalizer.normalizeData(sample); dataNormalizer.normalizeData(sample);
const SOM::Coordinate size {static_cast<SOM::Coordinate>(std::sqrt(samples.size() / trainSettings.sampleCountPerNeuron))}; SOM::Coordinate size {static_cast<SOM::Coordinate>(std::sqrt(samples.size() / trainSettings.sampleCountPerNeuron))};
if (size < 2)
{
LMS_LOG(RECOMMENDATION, WARNING) << "Very few tracks (" << samples.size() << ") are being used by the features engine, expect bad behaviors";
size = 2;
}
LMS_LOG(RECOMMENDATION, INFO) << "Found " << samples.size() << " tracks, constructing a " << size << "*" << size << " network"; LMS_LOG(RECOMMENDATION, INFO) << "Found " << samples.size() << " tracks, constructing a " << size << "*" << size << " network";
SOM::Network network {size, size, nbDimensions}; SOM::Network network {size, size, nbDimensions};