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bool | search (const VectorDouble &meanStart, const vector< VectorDouble > &points, const double searchRadius, const double sigma=20.0) |
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VectorDouble | getMean () const |
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double | gaussKernel (const double &x, const double &mu, const double gamma) |
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double | gaussKernel (const VectorDouble &x, const VectorDouble &mu, const double gamma) |
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double | euclideanDist (const VectorDouble &x, const VectorDouble &y) |
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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 (TimeSeriesClassificationDataStream trainingData) |
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virtual bool | train_ (TimeSeriesClassificationDataStream &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 (MatrixDouble data) |
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virtual bool | train_ (MatrixDouble &data) |
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virtual bool | predict (VectorDouble inputVector) |
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virtual bool | predict_ (VectorDouble &inputVector) |
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virtual bool | predict (MatrixDouble inputMatrix) |
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virtual bool | predict_ (MatrixDouble &inputMatrix) |
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virtual bool | map (VectorDouble inputVector) |
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virtual bool | map_ (VectorDouble &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 string filename) const |
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virtual bool | load (const string filename) |
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virtual bool | saveModelToFile (string filename) const |
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virtual bool | saveModelToFile (fstream &file) const |
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virtual bool | loadModelFromFile (string filename) |
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virtual bool | loadModelFromFile (fstream &file) |
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virtual bool | getModel (ostream &stream) const |
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double | scale (const double &x, const double &minSource, const double &maxSource, const double &minTarget, const double &maxTarget, const bool constrain=false) |
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virtual string | getModelAsString () 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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double | getMinChange () const |
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double | getLearningRate () const |
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double | getRootMeanSquaredTrainingError () const |
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double | getTotalSquaredTrainingError () 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 (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 double minChange) |
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bool | setLearningRate (double 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 | 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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string | getClassType () const |
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string | getLastWarningMessage () const |
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string | getLastErrorMessage () const |
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string | getLastInfoMessage () const |
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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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Definition at line 40 of file MeanShift.h.