Commit b9ca4574 authored by Cédric Traizet's avatar Cédric Traizet
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ENH: added new application TrainVectorRegression

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...@@ -70,6 +70,11 @@ otb_create_application( ...@@ -70,6 +70,11 @@ otb_create_application(
SOURCES otbTrainRegression.cxx SOURCES otbTrainRegression.cxx
LINK_LIBRARIES ${${otb-module}_LIBRARIES}) LINK_LIBRARIES ${${otb-module}_LIBRARIES})
otb_create_application(
NAME TrainVectorRegression
SOURCES otbTrainVectorRegression.cxx
LINK_LIBRARIES ${${otb-module}_LIBRARIES})
otb_create_application( otb_create_application(
NAME PredictRegression NAME PredictRegression
SOURCES otbPredictRegression.cxx SOURCES otbPredictRegression.cxx
......
/*
* 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.
*/
#include "otbTrainVectorBase.h"
namespace otb
{
namespace Wrapper
{
class TrainVectorRegression : public TrainVectorBase
{
public:
typedef TrainVectorRegression Self;
typedef TrainVectorBase Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
itkNewMacro( Self )
itkTypeMacro( Self, Superclass )
typedef Superclass::SampleType SampleType;
typedef Superclass::ListSampleType ListSampleType;
typedef Superclass::TargetListSampleType TargetListSampleType;
protected:
void DoInit() override
{
SetName( "TrainVectorRegression" );
SetDescription( "Train a regression algorithm based on geometries with "
"list of features to consider and a predictor." );
SetDocName( "Train Vector Classifier" );
SetDocLongDescription( "This application trains a classifier based on "
"labeled geometries and a list of features to consider for "
"classification.\nThis application is based on LibSVM, OpenCV Machine "
"Learning (2.3.1 and later), and Shark ML The output of this application "
"is a text model file, whose format corresponds to the ML model type "
"chosen. There is no image nor vector data output.");
SetDocLimitations("");
SetDocAuthors( "OTB Team" );
SetDocSeeAlso( " " );
SetOfficialDocLink();
Superclass::DoInit();
}
void DoUpdateParameters() override
{
Superclass::DoUpdateParameters();
}
void DoExecute() override
{
Superclass::DoExecute();
}
private:
};
}
}
OTB_APPLICATION_EXPORT( otb::Wrapper::TrainVectorRegression )
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