, including all inherited members.
| addConstantInput() | Data | |
| Algorithm() | Algorithm | |
| allocMemForCrossValidationSets() | Data | |
| baggingRandomSeed(uint seed) | Data | |
| BlendStopping (defined in Algorithm) | Algorithm | [friend] |
| calcRMSEonBlend()=0 (defined in Algorithm) | Algorithm | [pure virtual] |
| calcRMSEonProbe()=0 (defined in Algorithm) | Algorithm | [pure virtual] |
| clipValue(REAL input, REAL low, REAL high) | Algorithm | |
| Framework::convertDateToInt(uint day, uint month, uint year, uint hour, uint minute, uint second) | Framework | [static] |
| Data::convertDateToInt(uint day, uint month, uint year, uint hour, uint minute, uint second) | Framework | [static] |
| Framework::convertIntToDate(uint date, uint &day, uint &month, uint &year, uint &hour, uint &minute, uint &second, uint &weekday) | Framework | [static] |
| Data::convertIntToDate(uint date, uint &day, uint &month, uint &year, uint &hour, uint &minute, uint &second, uint &weekday) | Framework | [static] |
| Data() | Data | |
| deleteMemory() | Data | |
| doBootstrapSampling(REAL *probs, REAL *&train, REAL *&target, REAL *&targetEff, REAL *&targetRes, int *&label, int nTrainNew=0) | Data | |
| doFeatureSelection() | Data | |
| enableBagging(bool en) | Data | |
| extendTrainDataWithCascadeInputs() | Data | |
| fillCascadeLearningInputs() | Data | |
| fillNCrossValidationSet(int n) | Data | |
| Framework::Framework() | Framework | |
| Data::Framework() | Framework | |
| freeNCrossValidationSet(int n) | Data | |
| Framework::getAdditionalStartupParameter() | Framework | [static] |
| Data::getAdditionalStartupParameter() | Framework | [static] |
| Framework::getDatasetType() | Framework | [static] |
| Data::getDatasetType() | Framework | [static] |
| getDirectoryFileList(string path) | Data | [static] |
| Framework::getFrameworkMode() | Framework | [static] |
| Data::getFrameworkMode() | Framework | [static] |
| Framework::getMaxThreads() | Framework | [static] |
| Data::getMaxThreads() | Framework | [static] |
| Framework::getRandomSeed() | Framework | [static] |
| Data::getRandomSeed() | Framework | [static] |
| loadFeatureSelectionFile() (defined in Data) | Data | |
| loadNormalization(int nCascade=0) | Data | |
| m_addConstantInput (defined in Data) | Data | [protected] |
| m_addOutputNoise (defined in Data) | Data | [protected] |
| m_algorithmID (defined in Data) | Data | [protected] |
| m_algorithmName (defined in Data) | Data | [protected] |
| m_algorithmNameList (defined in Data) | Data | [protected] |
| m_blendingAlgorithm (defined in Data) | Data | [protected] |
| m_blendingEnableCrossValidation (defined in Data) | Data | [protected] |
| m_blendingRegularization (defined in Data) | Data | [protected] |
| m_boolMap (defined in Data) | Data | [protected] |
| m_cascadeInputs (defined in Data) | Data | [protected] |
| m_crossIndex (defined in Data) | Data | [protected] |
| m_dataPath (defined in Data) | Data | [protected] |
| m_datasetName (defined in Data) | Data | [protected] |
| m_datasetPath (defined in Data) | Data | [protected] |
| m_dimensionalityReduction (defined in Data) | Data | [protected] |
| m_disableTraining (defined in Data) | Data | [protected] |
| m_disableWriteDscFile (defined in Data) | Data | [protected] |
| m_doubleMap (defined in Data) | Data | [protected] |
| m_dscPath (defined in Data) | Data | [protected] |
| m_enableBagging (defined in Data) | Data | [protected] |
| m_enableCascadeLearning (defined in Data) | Data | [protected] |
| m_enableFeatureSelection (defined in Data) | Data | [protected] |
| m_enableGlobalBlendingWeights (defined in Data) | Data | [protected] |
| m_enableGlobalMeanStdEstimate (defined in Data) | Data | [protected] |
| m_enablePostBlendClipping (defined in Data) | Data | [protected] |
| m_enablePostNNBlending (defined in Data) | Data | [protected] |
| m_enableProbablisticNormalization (defined in Data) | Data | [protected] |
| m_enableSaveMemory (defined in Data) | Data | [protected] |
| m_enableStaticNormalization (defined in Data) | Data | [protected] |
| m_errorFunction (defined in Data) | Data | [protected] |
| m_featureSelectionWriteBinaryDataset (defined in Data) | Data | [protected] |
| m_fullPredPath (defined in Data) | Data | [protected] |
| m_globalTrainingLoops (defined in Data) | Data | [protected] |
| m_inRetraining (defined in Algorithm) | Algorithm | |
| m_intMap (defined in Data) | Data | [protected] |
| m_loadWeightsBeforeTraining (defined in Data) | Data | [protected] |
| m_maxThreadsInCross (defined in Data) | Data | [protected] |
| m_mean (defined in Data) | Data | [protected] |
| m_mixDatasetIndices (defined in Data) | Data | [protected] |
| m_mixList (defined in Data) | Data | [protected] |
| m_nCascadeInputs (defined in Data) | Data | [protected] |
| m_nClass (defined in Data) | Data | [protected] |
| m_nCross (defined in Data) | Data | [protected] |
| m_nDomain (defined in Data) | Data | [protected] |
| m_negativeTarget (defined in Data) | Data | [protected] |
| m_nFeatures (defined in Data) | Data | [protected] |
| m_nMixDataset (defined in Data) | Data | [protected] |
| m_nMixTrainList (defined in Data) | Data | [protected] |
| m_nTest (defined in Data) | Data | [protected] |
| m_nTrain (defined in Data) | Data | [protected] |
| m_positiveTarget (defined in Data) | Data | [protected] |
| m_probe (defined in Data) | Data | [protected] |
| m_probeIndex (defined in Data) | Data | [protected] |
| m_probeLabel (defined in Data) | Data | [protected] |
| m_probeSize (defined in Data) | Data | [protected] |
| m_probeTarget (defined in Data) | Data | [protected] |
| m_probeTargetEffect (defined in Data) | Data | [protected] |
| m_probeTargetResidual (defined in Data) | Data | [protected] |
| m_randomSeedBagging (defined in Data) | Data | [protected] |
| m_randSeed (defined in Data) | Data | [protected] |
| m_slotBoundaries (defined in Data) | Data | [protected] |
| m_standardDeviationMin (defined in Data) | Data | [protected] |
| m_staticMeanNormalization (defined in Data) | Data | [protected] |
| m_staticStdNormalization (defined in Data) | Data | [protected] |
| m_std (defined in Data) | Data | [protected] |
| m_stringMap (defined in Data) | Data | [protected] |
| m_subsampleFeatures (defined in Data) | Data | [protected] |
| m_subsampleTrainSet (defined in Data) | Data | [protected] |
| m_support (defined in Data) | Data | [protected] |
| m_targetMean (defined in Data) | Data | [protected] |
| m_tempPath (defined in Data) | Data | [protected] |
| m_testLabelOrig (defined in Data) | Data | [protected] |
| m_testOrig (defined in Data) | Data | [protected] |
| m_testTargetOrig (defined in Data) | Data | [protected] |
| m_train (defined in Data) | Data | [protected] |
| m_trainBaggingIndex (defined in Data) | Data | [protected] |
| m_trainLabel (defined in Data) | Data | [protected] |
| m_trainLabelOrig (defined in Data) | Data | [protected] |
| m_trainOnFullPredictorFile (defined in Data) | Data | [protected] |
| m_trainOrig (defined in Data) | Data | [protected] |
| m_trainSize (defined in Data) | Data | [protected] |
| m_trainTarget (defined in Data) | Data | [protected] |
| m_trainTargetEffect (defined in Data) | Data | [protected] |
| m_trainTargetOrig (defined in Data) | Data | [protected] |
| m_trainTargetOrigEffect (defined in Data) | Data | [protected] |
| m_trainTargetOrigResidual (defined in Data) | Data | [protected] |
| m_trainTargetResidual (defined in Data) | Data | [protected] |
| m_valid (defined in Data) | Data | [protected] |
| m_validationType (defined in Data) | Data | [protected] |
| m_validLabel (defined in Data) | Data | [protected] |
| m_validSize (defined in Data) | Data | [protected] |
| m_validTarget (defined in Data) | Data | [protected] |
| makeBinaryDataset() | Data | |
| mergeTrainAndTest() | Data | |
| mixDataset() | Data | |
| normalizeZeroOne() | Data | |
| partitionDatasetToCrossValidationSets() | Data | |
| predictMultipleOutputs(REAL *rawInput, REAL *effect, REAL *output, int *label, int nSamples, int crossRun)=0 (defined in Algorithm) | Algorithm | [pure virtual] |
| readDataset(string name) | Data | |
| readDscFile(string name) | Data | |
| readEffectFile() | Data | |
| readParameter(string line, int mode) | Data | |
| reduceFeatureSize(REAL *&table, int tableRows, int &tableCols, REAL percent, bool loadColumnSet) | Data | |
| reduceTrainingSetSize(REAL percent) | Data | |
| saveFeatureSelectionFile() (defined in Data) | Data | |
| Framework::setAdditionalStartupParameter(char *s) | Framework | [static] |
| Data::setAdditionalStartupParameter(char *s) | Framework | [static] |
| setAlgorithmList(vector< string > m_algorithmNameList) | Data | |
| setDataPointers(Data *data) | Data | |
| Framework::setDatasetType(bool isClassification) | Framework | [static] |
| Data::setDatasetType(bool isClassification) | Framework | [static] |
| Framework::setFrameworkMode(int mode) | Framework | [static] |
| Data::setFrameworkMode(int mode) | Framework | [static] |
| Framework::setMaxThreads(int n) | Framework | [static] |
| Data::setMaxThreads(int n) | Framework | [static] |
| setPathes(string temp, string dsc, string fullPred, string data) | Data | |
| setPredictionMode(int cross)=0 (defined in Algorithm) | Algorithm | [pure virtual] |
| Framework::setRandomSeed(int n) | Framework | [static] |
| Data::setRandomSeed(int n) | Framework | [static] |
| splitStringToIntegerList(string str, char delimiter) | Data | [static] |
| splitStringToStringList(string str, char delimiter) | Data | [static] |
| train()=0 (defined in Algorithm) | Algorithm | [pure virtual] |
| vectorSampling(REAL *probs, int length) | Data | |
| ~Algorithm() | Algorithm | [virtual] |
| ~Data() | Data | [virtual] |
| Framework::~Framework() | Framework | |
| Data::~Framework() | Framework | |
