Boost training issue: vector subscript out of range

C++
1

I am having trouble with training a Boosted trees model for regression. I am using the code below to train the model, but get a runtime error for “vector subscript out of range”

Ptr<TrainData> trainingData = TrainData::create(dataset_opencv.trainData, ROW_SAMPLE, dataset_opencv.trainLabels);
Ptr<Boost> Mdl = Boost::create();
Mdl->setWeakCount(200);
Mdl->setBoostType(cv::ml::Boost::GENTLE);
Mdl->setUseSurrogates(false);
Mdl->setMaxCategories(200);
Mdl->setRegressionAccuracy(0.05);
Mdl->train(trainingData);

My data and responses are cv::Mats with the exact same number of rows. The training data is 25 columns, the labels are 1 column, and both are CV_32F. Using the same training data for training a Random Forest model is running with no issue. Is there something I’m doing wrong in setting the parameters for Boosted Trees model?