| Algorithm() | cv::Algorithm | |
| BATCH 列舉值 | cv::ml::LogisticRegression | |
| calcError(const Ptr< TrainData > &data, bool test, OutputArray resp) const | cv::ml::StatModel | virtual |
| clear() | cv::Algorithm | 內聯virtual |
| COMPRESSED_INPUT 列舉值 | cv::ml::StatModel | |
| create() | cv::ml::LogisticRegression | static |
| empty() const CV_OVERRIDE | cv::ml::StatModel | virtual |
| Flags 列舉名稱 | cv::ml::StatModel | |
| get_learnt_thetas() const =0 | cv::ml::LogisticRegression | 純虛擬函式 |
| getDefaultName() const | cv::Algorithm | virtual |
| getIterations() const =0 | cv::ml::LogisticRegression | 純虛擬函式 |
| getLearningRate() const =0 | cv::ml::LogisticRegression | 純虛擬函式 |
| getMiniBatchSize() const =0 | cv::ml::LogisticRegression | 純虛擬函式 |
| getRegularization() const =0 | cv::ml::LogisticRegression | 純虛擬函式 |
| getTermCriteria() const =0 | cv::ml::LogisticRegression | 純虛擬函式 |
| getTrainMethod() const =0 | cv::ml::LogisticRegression | 純虛擬函式 |
| getVarCount() const =0 | cv::ml::StatModel | 純虛擬函式 |
| isClassifier() const =0 | cv::ml::StatModel | 純虛擬函式 |
| isTrained() const =0 | cv::ml::StatModel | 純虛擬函式 |
| load(const String &filepath, const String &nodeName=String()) | cv::ml::LogisticRegression | static |
| loadFromString(const String &strModel, const String &objname=String()) | cv::Algorithm | 內聯static |
| Methods 列舉名稱 | cv::ml::LogisticRegression | |
| MINI_BATCH 列舉值 | cv::ml::LogisticRegression | |
| predict(InputArray samples, OutputArray results=noArray(), int flags=0) const CV_OVERRIDE=0 | cv::ml::LogisticRegression | 純虛擬函式 |
| PREPROCESSED_INPUT 列舉值 | cv::ml::StatModel | |
| RAW_OUTPUT 列舉值 | cv::ml::StatModel | |
| read(const FileNode &fn) | cv::Algorithm | 內聯virtual |
| read(const FileNode &fn) | cv::Algorithm | 內聯static |
| REG_DISABLE 列舉值 | cv::ml::LogisticRegression | |
| REG_L1 列舉值 | cv::ml::LogisticRegression | |
| REG_L2 列舉值 | cv::ml::LogisticRegression | |
| RegKinds 列舉名稱 | cv::ml::LogisticRegression | |
| save(const String &filename) const | cv::Algorithm | virtual |
| setIterations(int val)=0 | cv::ml::LogisticRegression | 純虛擬函式 |
| setLearningRate(double val)=0 | cv::ml::LogisticRegression | 純虛擬函式 |
| setMiniBatchSize(int val)=0 | cv::ml::LogisticRegression | 純虛擬函式 |
| setRegularization(int val)=0 | cv::ml::LogisticRegression | 純虛擬函式 |
| setTermCriteria(TermCriteria val)=0 | cv::ml::LogisticRegression | 純虛擬函式 |
| setTrainMethod(int val)=0 | cv::ml::LogisticRegression | 純虛擬函式 |
| train(const Ptr< TrainData > &trainData, int flags=0) | cv::ml::StatModel | virtual |
| train(InputArray samples, int layout, InputArray responses) | cv::ml::StatModel | virtual |
| train(const Ptr< TrainData > &data, int flags=0) | cv::ml::StatModel | 內聯static |
| UPDATE_MODEL 列舉值 | cv::ml::StatModel | |
| write(FileStorage &fs) const | cv::Algorithm | 內聯virtual |
| write(FileStorage &fs, const String &name) const | cv::Algorithm | |
| write(const Ptr< FileStorage > &fs, const String &name=String()) const | cv::Algorithm | |
| writeFormat(FileStorage &fs) const | cv::Algorithm | 保護 |
| ~Algorithm() | cv::Algorithm | virtual |
1.12.0