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LightGBMWrapper - Type of return value of classify methods for binary classification was changed to two-element vector of probabilities (instead of one-element vector) #15

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LightGBMWrapper - Type of return value of classify methods for binary classification was changed to two-element vector of probabilities (instead of one-element vector) #15

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a7c3c5e
LightGBMWrapper - Type of return value of classify methods for binary…
hudlijac Dec 17, 2025
e084402
LightGBMWrapper - Some empty lines in code was deleted
hudlijac Dec 17, 2025
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13 changes: 12 additions & 1 deletion src/wif/ml/lightGBMWrapper.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -54,8 +54,8 @@ ClfResult LightGBMWrapper::classify(const FlowFeatures& flowFeatures)
int64_t outLen; // length of output result
int numOfClasses; // number of classes
LGBM_BoosterGetNumClasses(m_booster, &numOfClasses);

std::vector<double> pred(numOfClasses); // vector with predictions

for (const auto& featureID : m_featureIDs) {
double value = flowFeatures.get<double>(featureID);
dataToClassify.push_back(value);
Expand All @@ -74,6 +74,11 @@ ClfResult LightGBMWrapper::classify(const FlowFeatures& flowFeatures)
&outLen,
pred.data());

if (numOfClasses == 1) {
double tmp = pred[0];
pred.insert(pred.begin(), (1.0 - tmp));
}

return ClfResult(pred);
}

Expand Down Expand Up @@ -114,6 +119,12 @@ std::vector<ClfResult> LightGBMWrapper::classify(const std::vector<FlowFeatures>
std::vector<double> probabilities(
pred.begin() + idx * numOfClasses,
pred.begin() + (idx + 1) * numOfClasses);

if (numOfClasses == 1) {
double tmp = probabilities[0];
probabilities.insert(probabilities.begin(), (1.0 - tmp));
}

burstResults.emplace_back(probabilities);
}

Expand Down