OpenCV 5.0.0-pre
Open Source Computer Vision
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This is the complete list of members for cv::ml::TrainData, including all inherited members.
create(InputArray samples, int layout, InputArray responses, InputArray varIdx=noArray(), InputArray sampleIdx=noArray(), InputArray sampleWeights=noArray(), InputArray varType=noArray()) | cv::ml::TrainData | static |
getCatCount(int vi) const =0 | cv::ml::TrainData | pure virtual |
getCatMap() const =0 | cv::ml::TrainData | pure virtual |
getCatOfs() const =0 | cv::ml::TrainData | pure virtual |
getClassLabels() const =0 | cv::ml::TrainData | pure virtual |
getDefaultSubstValues() const =0 | cv::ml::TrainData | pure virtual |
getLayout() const =0 | cv::ml::TrainData | pure virtual |
getMissing() const =0 | cv::ml::TrainData | pure virtual |
getNAllVars() const =0 | cv::ml::TrainData | pure virtual |
getNames(std::vector< String > &names) const =0 | cv::ml::TrainData | pure virtual |
getNormCatResponses() const =0 | cv::ml::TrainData | pure virtual |
getNormCatValues(int vi, InputArray sidx, int *values) const =0 | cv::ml::TrainData | pure virtual |
getNSamples() const =0 | cv::ml::TrainData | pure virtual |
getNTestSamples() const =0 | cv::ml::TrainData | pure virtual |
getNTrainSamples() const =0 | cv::ml::TrainData | pure virtual |
getNVars() const =0 | cv::ml::TrainData | pure virtual |
getResponses() const =0 | cv::ml::TrainData | pure virtual |
getResponseType() const =0 | cv::ml::TrainData | pure virtual |
getSample(InputArray varIdx, int sidx, float *buf) const =0 | cv::ml::TrainData | pure virtual |
getSamples() const =0 | cv::ml::TrainData | pure virtual |
getSampleWeights() const =0 | cv::ml::TrainData | pure virtual |
getSubMatrix(const Mat &matrix, const Mat &idx, int layout) | cv::ml::TrainData | static |
getSubVector(const Mat &vec, const Mat &idx) | cv::ml::TrainData | static |
getTestNormCatResponses() const =0 | cv::ml::TrainData | pure virtual |
getTestResponses() const =0 | cv::ml::TrainData | pure virtual |
getTestSampleIdx() const =0 | cv::ml::TrainData | pure virtual |
getTestSamples() const =0 | cv::ml::TrainData | pure virtual |
getTestSampleWeights() const =0 | cv::ml::TrainData | pure virtual |
getTrainNormCatResponses() const =0 | cv::ml::TrainData | pure virtual |
getTrainResponses() const =0 | cv::ml::TrainData | pure virtual |
getTrainSampleIdx() const =0 | cv::ml::TrainData | pure virtual |
getTrainSamples(int layout=ROW_SAMPLE, bool compressSamples=true, bool compressVars=true) const =0 | cv::ml::TrainData | pure virtual |
getTrainSampleWeights() const =0 | cv::ml::TrainData | pure virtual |
getValues(int vi, InputArray sidx, float *values) const =0 | cv::ml::TrainData | pure virtual |
getVarIdx() const =0 | cv::ml::TrainData | pure virtual |
getVarSymbolFlags() const =0 | cv::ml::TrainData | pure virtual |
getVarType() const =0 | cv::ml::TrainData | pure virtual |
loadFromCSV(const String &filename, int headerLineCount, int responseStartIdx=-1, int responseEndIdx=-1, const String &varTypeSpec=String(), char delimiter=',', char missch='?') | cv::ml::TrainData | static |
missingValue() | cv::ml::TrainData | inlinestatic |
setTrainTestSplit(int count, bool shuffle=true)=0 | cv::ml::TrainData | pure virtual |
setTrainTestSplitRatio(double ratio, bool shuffle=true)=0 | cv::ml::TrainData | pure virtual |
shuffleTrainTest()=0 | cv::ml::TrainData | pure virtual |
~TrainData() | cv::ml::TrainData | virtual |