| __fromPtr__(IntPtr addr) | OpenCVForUnity.MlModule.LogisticRegression | static |
| BATCH | OpenCVForUnity.MlModule.LogisticRegression | |
| calcError(TrainData data, bool test, Mat resp) | OpenCVForUnity.MlModule.StatModel | |
| clear() | OpenCVForUnity.CoreModule.Algorithm | virtual |
| COMPRESSED_INPUT | OpenCVForUnity.MlModule.StatModel | |
| create() | OpenCVForUnity.MlModule.LogisticRegression | 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.LogisticRegression | protectedvirtual |
| OpenCVForUnity::DisposableObject.Dispose() | OpenCVForUnity.DisposableObject | |
| empty() | OpenCVForUnity.MlModule.StatModel | virtual |
| get_learnt_thetas() | OpenCVForUnity.MlModule.LogisticRegression | |
| getDefaultName() | OpenCVForUnity.CoreModule.Algorithm | virtual |
| getIterations() | OpenCVForUnity.MlModule.LogisticRegression | |
| getLearningRate() | OpenCVForUnity.MlModule.LogisticRegression | |
| getMiniBatchSize() | OpenCVForUnity.MlModule.LogisticRegression | |
| getNativeObjAddr() | OpenCVForUnity.CoreModule.Algorithm | |
| getRegularization() | OpenCVForUnity.MlModule.LogisticRegression | |
| getTermCriteria() | OpenCVForUnity.MlModule.LogisticRegression | |
| getTrainMethod() | OpenCVForUnity.MlModule.LogisticRegression | |
| getVarCount() | OpenCVForUnity.MlModule.StatModel | |
| isClassifier() | OpenCVForUnity.MlModule.StatModel | |
| IsDisposed | OpenCVForUnity.DisposableObject | |
| IsEnabledDispose | OpenCVForUnity.DisposableObject | |
| isTrained() | OpenCVForUnity.MlModule.StatModel | |
| load(string filepath, string nodeName) | OpenCVForUnity.MlModule.LogisticRegression | static |
| load(string filepath) | OpenCVForUnity.MlModule.LogisticRegression | static |
| MINI_BATCH | OpenCVForUnity.MlModule.LogisticRegression | |
| predict(Mat samples, Mat results, int flags) | OpenCVForUnity.MlModule.LogisticRegression | virtual |
| predict(Mat samples, Mat results) | OpenCVForUnity.MlModule.LogisticRegression | virtual |
| predict(Mat samples) | OpenCVForUnity.MlModule.LogisticRegression | virtual |
| PREPROCESSED_INPUT | OpenCVForUnity.MlModule.StatModel | |
| RAW_OUTPUT | OpenCVForUnity.MlModule.StatModel | |
| REG_DISABLE | OpenCVForUnity.MlModule.LogisticRegression | |
| REG_L1 | OpenCVForUnity.MlModule.LogisticRegression | |
| REG_L2 | OpenCVForUnity.MlModule.LogisticRegression | |
| save(string filename) | OpenCVForUnity.CoreModule.Algorithm | |
| setIterations(int val) | OpenCVForUnity.MlModule.LogisticRegression | |
| setLearningRate(double val) | OpenCVForUnity.MlModule.LogisticRegression | |
| setMiniBatchSize(int val) | OpenCVForUnity.MlModule.LogisticRegression | |
| setRegularization(int val) | OpenCVForUnity.MlModule.LogisticRegression | |
| setTermCriteria(TermCriteria val) | OpenCVForUnity.MlModule.LogisticRegression | |
| setTrainMethod(int val) | OpenCVForUnity.MlModule.LogisticRegression | |
| 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 | |
| UPDATE_MODEL | OpenCVForUnity.MlModule.StatModel | |
