| __fromPtr__(IntPtr addr) | OpenCVForUnity.MlModule.RTrees | static |
| calcError(TrainData data, bool test, Mat resp) | OpenCVForUnity.MlModule.StatModel | |
| clear() | OpenCVForUnity.CoreModule.Algorithm | virtual |
| COMPRESSED_INPUT | OpenCVForUnity.MlModule.StatModel | static |
| create() | OpenCVForUnity.MlModule.RTrees | static |
| DisposableObject() | OpenCVForUnity.DisposableObject | protected |
| DisposableObject(bool isEnabledDispose) | OpenCVForUnity.DisposableObject | protected |
| DisposableOpenCVObject() | OpenCVForUnity.DisposableOpenCVObject | protected |
| DisposableOpenCVObject(IntPtr ptr) | OpenCVForUnity.DisposableOpenCVObject | protected |
| DisposableOpenCVObject(bool isEnabledDispose) | OpenCVForUnity.DisposableOpenCVObject | protected |
| DisposableOpenCVObject(IntPtr ptr, bool isEnabledDispose) | OpenCVForUnity.DisposableOpenCVObject | protected |
| Dispose(bool disposing) | OpenCVForUnity.MlModule.RTrees | protectedvirtual |
| OpenCVForUnity::DisposableObject.Dispose() | OpenCVForUnity.DisposableObject | |
| empty() | OpenCVForUnity.MlModule.StatModel | virtual |
| getActiveVarCount() | OpenCVForUnity.MlModule.RTrees | |
| getCalculateVarImportance() | OpenCVForUnity.MlModule.RTrees | |
| getCVFolds() | OpenCVForUnity.MlModule.DTrees | |
| getDefaultName() | OpenCVForUnity.CoreModule.Algorithm | virtual |
| getMaxCategories() | OpenCVForUnity.MlModule.DTrees | |
| getMaxDepth() | OpenCVForUnity.MlModule.DTrees | |
| getMinSampleCount() | OpenCVForUnity.MlModule.DTrees | |
| getNativeObjAddr() | OpenCVForUnity.CoreModule.Algorithm | |
| getOOBError() | OpenCVForUnity.MlModule.RTrees | |
| getPriors() | OpenCVForUnity.MlModule.DTrees | |
| getRegressionAccuracy() | OpenCVForUnity.MlModule.DTrees | |
| getTermCriteria() | OpenCVForUnity.MlModule.RTrees | |
| getTermCriteriaAsValueTuple() | OpenCVForUnity.MlModule.RTrees | |
| getTermCriteriaAsVec3d() | OpenCVForUnity.MlModule.RTrees | |
| getTruncatePrunedTree() | OpenCVForUnity.MlModule.DTrees | |
| getUse1SERule() | OpenCVForUnity.MlModule.DTrees | |
| getUseSurrogates() | OpenCVForUnity.MlModule.DTrees | |
| getVarCount() | OpenCVForUnity.MlModule.StatModel | |
| getVarImportance() | OpenCVForUnity.MlModule.RTrees | |
| getVotes(Mat samples, Mat results, int flags) | OpenCVForUnity.MlModule.RTrees | |
| isClassifier() | OpenCVForUnity.MlModule.StatModel | |
| IsDisposed | OpenCVForUnity.DisposableObject | |
| IsEnabledDispose | OpenCVForUnity.DisposableObject | |
| isTrained() | OpenCVForUnity.MlModule.StatModel | |
| load(string filepath, string nodeName) | OpenCVForUnity.MlModule.RTrees | static |
| load(string filepath) | OpenCVForUnity.MlModule.RTrees | static |
| maxCount | OpenCVForUnity.MlModule.RTrees | |
| predict(Mat samples, Mat results, int flags) | OpenCVForUnity.MlModule.StatModel | virtual |
| predict(Mat samples, Mat results) | OpenCVForUnity.MlModule.StatModel | virtual |
| predict(Mat samples) | OpenCVForUnity.MlModule.StatModel | virtual |
| PREDICT_AUTO | OpenCVForUnity.MlModule.DTrees | static |
| PREDICT_MASK | OpenCVForUnity.MlModule.DTrees | static |
| PREDICT_MAX_VOTE | OpenCVForUnity.MlModule.DTrees | static |
| PREDICT_SUM | OpenCVForUnity.MlModule.DTrees | static |
| PREPROCESSED_INPUT | OpenCVForUnity.MlModule.StatModel | static |
| RAW_OUTPUT | OpenCVForUnity.MlModule.StatModel | static |
| save(string filename) | OpenCVForUnity.CoreModule.Algorithm | |
| setActiveVarCount(int val) | OpenCVForUnity.MlModule.RTrees | |
| setCalculateVarImportance(bool val) | OpenCVForUnity.MlModule.RTrees | |
| setCVFolds(int val) | OpenCVForUnity.MlModule.DTrees | |
| setMaxCategories(int val) | OpenCVForUnity.MlModule.DTrees | |
| setMaxDepth(int val) | OpenCVForUnity.MlModule.DTrees | |
| setMinSampleCount(int val) | OpenCVForUnity.MlModule.DTrees | |
| setPriors(Mat val) | OpenCVForUnity.MlModule.DTrees | |
| setRegressionAccuracy(float val) | OpenCVForUnity.MlModule.DTrees | |
| setTermCriteria(TermCriteria val) | OpenCVForUnity.MlModule.RTrees | |
| setTermCriteria(in Vec3d val) | OpenCVForUnity.MlModule.RTrees | |
| setTermCriteria(in(double type, double maxCount, double epsilon) val) | OpenCVForUnity.MlModule.RTrees | |
| setTruncatePrunedTree(bool val) | OpenCVForUnity.MlModule.DTrees | |
| setUse1SERule(bool val) | OpenCVForUnity.MlModule.DTrees | |
| setUseSurrogates(bool val) | OpenCVForUnity.MlModule.DTrees | |
| ThrowIfDisposed() | OpenCVForUnity.DisposableObject | |
| ThrowIfNullIntPtr(IntPtr ptr) | OpenCVForUnity.DisposableObject | static |
| train(TrainData trainData, int flags) | OpenCVForUnity.MlModule.StatModel | |
| train(TrainData trainData) | OpenCVForUnity.MlModule.StatModel | |
| train(Mat samples, int layout, Mat responses) | OpenCVForUnity.MlModule.StatModel | |
| type | OpenCVForUnity.MlModule.RTrees | |
| UPDATE_MODEL | OpenCVForUnity.MlModule.StatModel | static |
1.12.0