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bool | addParameter (std::function< bool(unsigned int) > f, GridSearchRange< unsigned int > range) |
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bool | search () |
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Float | getBestResult () const |
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T | getBestModel () const |
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bool | setModel (const T &model) |
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bool | setEvaluationFunction (std::function< Float() > f, SearchType type=MaxValueSearch) |
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| MLBase (void) |
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virtual | ~MLBase (void) |
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bool | copyMLBaseVariables (const MLBase *mlBase) |
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virtual bool | train (ClassificationData trainingData) |
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virtual bool | train_ (ClassificationData &trainingData) |
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virtual bool | train (RegressionData trainingData) |
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virtual bool | train_ (RegressionData &trainingData) |
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virtual bool | train (TimeSeriesClassificationData trainingData) |
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virtual bool | train_ (TimeSeriesClassificationData &trainingData) |
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virtual bool | train (ClassificationDataStream trainingData) |
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virtual bool | train_ (ClassificationDataStream &trainingData) |
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virtual bool | train (UnlabelledData trainingData) |
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virtual bool | train_ (UnlabelledData &trainingData) |
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virtual bool | train (MatrixFloat data) |
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virtual bool | train_ (MatrixFloat &data) |
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virtual bool | predict (VectorFloat inputVector) |
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virtual bool | predict_ (VectorFloat &inputVector) |
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virtual bool | predict (MatrixFloat inputMatrix) |
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virtual bool | predict_ (MatrixFloat &inputMatrix) |
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virtual bool | map (VectorFloat inputVector) |
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virtual bool | map_ (VectorFloat &inputVector) |
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virtual bool | reset () |
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virtual bool | clear () |
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virtual bool | print () const |
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virtual bool | save (const std::string filename) const |
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virtual bool | load (const std::string filename) |
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virtual bool | save (std::fstream &file) const |
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virtual bool | load (std::fstream &file) |
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| GRT_DEPRECATED_MSG ("saveModelToFile(std::string filename) is deprecated, use save(std::string filename) instead", virtual bool saveModelToFile(std::string filename) const ) |
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| GRT_DEPRECATED_MSG ("saveModelToFile(std::fstream &file) is deprecated, use save(std::fstream &file) instead", virtual bool saveModelToFile(std::fstream &file) const ) |
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| GRT_DEPRECATED_MSG ("loadModelFromFile(std::string filename) is deprecated, use load(std::string filename) instead", virtual bool loadModelFromFile(std::string filename)) |
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| GRT_DEPRECATED_MSG ("loadModelFromFile(std::fstream &file) is deprecated, use load(std::fstream &file) instead", virtual bool loadModelFromFile(std::fstream &file)) |
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virtual bool | getModel (std::ostream &stream) const |
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Float | scale (const Float &x, const Float &minSource, const Float &maxSource, const Float &minTarget, const Float &maxTarget, const bool constrain=false) |
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virtual std::string | getModelAsString () const |
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DataType | getInputType () const |
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DataType | getOutputType () const |
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UINT | getBaseType () const |
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UINT | getNumInputFeatures () const |
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UINT | getNumInputDimensions () const |
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UINT | getNumOutputDimensions () const |
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UINT | getMinNumEpochs () const |
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UINT | getMaxNumEpochs () const |
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UINT | getValidationSetSize () const |
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UINT | getNumTrainingIterationsToConverge () const |
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Float | getMinChange () const |
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Float | getLearningRate () const |
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Float | getRootMeanSquaredTrainingError () const |
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Float | getTotalSquaredTrainingError () const |
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Float | getValidationSetAccuracy () const |
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VectorFloat | getValidationSetPrecision () const |
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VectorFloat | getValidationSetRecall () const |
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bool | getUseValidationSet () const |
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bool | getRandomiseTrainingOrder () const |
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bool | getTrained () const |
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bool | getModelTrained () const |
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bool | getScalingEnabled () const |
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bool | getIsBaseTypeClassifier () const |
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bool | getIsBaseTypeRegressifier () const |
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bool | getIsBaseTypeClusterer () const |
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bool | enableScaling (const bool useScaling) |
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bool | setMaxNumEpochs (const UINT maxNumEpochs) |
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bool | setMinNumEpochs (const UINT minNumEpochs) |
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bool | setMinChange (const Float minChange) |
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bool | setLearningRate (const Float learningRate) |
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bool | setUseValidationSet (const bool useValidationSet) |
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bool | setValidationSetSize (const UINT validationSetSize) |
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bool | setRandomiseTrainingOrder (const bool randomiseTrainingOrder) |
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bool | setTrainingLoggingEnabled (const bool loggingEnabled) |
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bool | registerTrainingResultsObserver (Observer< TrainingResult > &observer) |
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bool | registerTestResultsObserver (Observer< TestInstanceResult > &observer) |
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bool | removeTrainingResultsObserver (const Observer< TrainingResult > &observer) |
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bool | removeTestResultsObserver (const Observer< TestInstanceResult > &observer) |
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bool | removeAllTrainingObservers () |
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bool | removeAllTestObservers () |
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bool | notifyTrainingResultsObservers (const TrainingResult &data) |
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bool | notifyTestResultsObservers (const TestInstanceResult &data) |
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MLBase * | getMLBasePointer () |
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const MLBase * | getMLBasePointer () const |
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Vector< TrainingResult > | getTrainingResults () const |
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| GRTBase (void) |
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virtual | ~GRTBase (void) |
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bool | copyGRTBaseVariables (const GRTBase *GRTBase) |
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std::string | getClassType () const |
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std::string | getLastWarningMessage () const |
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std::string | getLastErrorMessage () const |
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std::string | getLastInfoMessage () const |
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bool | setInfoLoggingEnabled (const bool loggingEnabled) |
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bool | setWarningLoggingEnabled (const bool loggingEnabled) |
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bool | setErrorLoggingEnabled (const bool loggingEnabled) |
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GRTBase * | getGRTBasePointer () |
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const GRTBase * | getGRTBasePointer () const |
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virtual void | notify (const TrainingResult &data) |
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virtual void | notify (const TestInstanceResult &data) |
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template<class T>
class GridSearch< T >
Definition at line 112 of file GridSearch.h.