Uses of Class
org.bytedeco.javacpp.opencv_ml.TrainData

Packages that use opencv_ml.TrainData

Package	Description
org.bytedeco.javacpp

Uses of opencv_ml.TrainData in org.bytedeco.javacpp

Methods in org.bytedeco.javacpp that return opencv_ml.TrainData

Modifier and Type	Method and Description
static opencv_ml.TrainData	opencv_ml.TrainData.create(opencv_core.GpuMat samples, int layout, opencv_core.GpuMat responses)
static opencv_ml.TrainData	opencv_ml.TrainData.create(opencv_core.GpuMat samples, int layout, opencv_core.GpuMat responses, opencv_core.GpuMat varIdx, opencv_core.GpuMat sampleIdx, opencv_core.GpuMat sampleWeights, opencv_core.GpuMat varType)
static opencv_ml.TrainData	opencv_ml.TrainData.create(opencv_core.Mat samples, int layout, opencv_core.Mat responses)
static opencv_ml.TrainData	opencv_ml.TrainData.create(opencv_core.Mat samples, int layout, opencv_core.Mat responses, opencv_core.Mat varIdx, opencv_core.Mat sampleIdx, opencv_core.Mat sampleWeights, opencv_core.Mat varType) \brief Creates training data from in-memory arrays.
static opencv_ml.TrainData	opencv_ml.TrainData.create(opencv_core.UMat samples, int layout, opencv_core.UMat responses)
static opencv_ml.TrainData	opencv_ml.TrainData.create(opencv_core.UMat samples, int layout, opencv_core.UMat responses, opencv_core.UMat varIdx, opencv_core.UMat sampleIdx, opencv_core.UMat sampleWeights, opencv_core.UMat varType)
static opencv_ml.TrainData	opencv_ml.TrainData.loadFromCSV(org.bytedeco.javacpp.BytePointer filename, int headerLineCount)
static opencv_ml.TrainData	opencv_ml.TrainData.loadFromCSV(org.bytedeco.javacpp.BytePointer filename, int headerLineCount, int responseStartIdx, int responseEndIdx, org.bytedeco.javacpp.BytePointer varTypeSpec, byte delimiter, byte missch) \brief Reads the dataset from a .csv file and returns the ready-to-use training data.
static opencv_ml.TrainData	opencv_ml.TrainData.loadFromCSV(String filename, int headerLineCount)
static opencv_ml.TrainData	opencv_ml.TrainData.loadFromCSV(String filename, int headerLineCount, int responseStartIdx, int responseEndIdx, String varTypeSpec, byte delimiter, byte missch)

Methods in org.bytedeco.javacpp with parameters of type opencv_ml.TrainData

Modifier and Type	Method and Description
float	opencv_ml.StatModel.calcError(opencv_ml.TrainData data, boolean test, opencv_core.GpuMat resp)
float	opencv_ml.StatModel.calcError(opencv_ml.TrainData data, boolean test, opencv_core.Mat resp) \brief Computes error on the training or test dataset
float	opencv_ml.StatModel.calcError(opencv_ml.TrainData data, boolean test, opencv_core.UMat resp)
boolean	opencv_ml.StatModel.train(opencv_ml.TrainData trainData)
boolean	opencv_ml.StatModel.train(opencv_ml.TrainData trainData, int flags) \brief Trains the statistical model
boolean	opencv_ml.SVM.trainAuto(opencv_ml.TrainData data)
boolean	opencv_ml.SVM.trainAuto(opencv_ml.TrainData data, int kFold, opencv_ml.ParamGrid Cgrid, opencv_ml.ParamGrid gammaGrid, opencv_ml.ParamGrid pGrid, opencv_ml.ParamGrid nuGrid, opencv_ml.ParamGrid coeffGrid, opencv_ml.ParamGrid degreeGrid, boolean balanced) \brief Trains an %SVM with optimal parameters.