/* * Copyright (C) 2005-2019 Centre National d'Etudes Spatiales (CNES) * * This file is part of Orfeo Toolbox * * https://www.orfeo-toolbox.org/ * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #ifndef otbTrainNormalBayes_hxx #define otbTrainNormalBayes_hxx #include "otbLearningApplicationBase.h" #include "otbNormalBayesMachineLearningModel.h" namespace otb { namespace Wrapper { template void LearningApplicationBase::InitNormalBayesParams() { AddChoice("classifier.bayes", "Normal Bayes classifier"); SetParameterDescription("classifier.bayes", "http://docs.opencv.org/modules/ml/doc/normal_bayes_classifier.html"); } template void LearningApplicationBase::TrainNormalBayes(typename ListSampleType::Pointer trainingListSample, typename TargetListSampleType::Pointer trainingLabeledListSample, std::string modelPath) { typedef otb::NormalBayesMachineLearningModel NormalBayesType; typename NormalBayesType::Pointer classifier = NormalBayesType::New(); classifier->SetRegressionMode(this->m_RegressionFlag); classifier->SetInputListSample(trainingListSample); classifier->SetTargetListSample(trainingLabeledListSample); classifier->Train(); classifier->Save(modelPath); } } // end namespace wrapper } // end namespace otb #endif