| backwardElimination(bool *selection, REAL *inputs, int nFeatures, int nExamples, int *labels, REAL *targets, int nClass, int nDomain) (defined in InputFeatureSelector) | InputFeatureSelector | [static] |
| convertDateToInt(uint day, uint month, uint year, uint hour, uint minute, uint second) | Framework | [static] |
| convertIntToDate(uint date, uint &day, uint &month, uint &year, uint &hour, uint &minute, uint &second, uint &weekday) | Framework | [static] |
| forwardSelection(bool *selection, REAL *inputs, int nFeatures, int nExamples, int *labels, REAL *targets, int nClass, int nDomain) | InputFeatureSelector | [static] |
| Framework() | Framework | |
| getAdditionalStartupParameter() | Framework | [static] |
| getDatasetType() | Framework | [static] |
| getFrameworkMode() | Framework | [static] |
| getMaxThreads() | Framework | [static] |
| getRandomSeed() | Framework | [static] |
| InputFeatureSelector() | InputFeatureSelector | |
| predictWithRidgeRegression(int *colSelect, int nCol, int totalCol, int nTarget, REAL *ATAfull, REAL *ATbfull, REAL *testFeat, REAL *output, int nPred, REAL *ATA, REAL *ATb, REAL *AbTrans) | InputFeatureSelector | [private, static] |
| selectFeatures(bool *selection, REAL *inputs, int nFeatures, int nExamples, int *labels, REAL *targets, int nClass, int nDomain) | InputFeatureSelector | [static] |
| setAdditionalStartupParameter(char *s) | Framework | [static] |
| setDatasetType(bool isClassification) | Framework | [static] |
| setFrameworkMode(int mode) | Framework | [static] |
| setMaxThreads(int n) | Framework | [static] |
| setRandomSeed(int n) | Framework | [static] |
| ~Framework() | Framework | |
| ~InputFeatureSelector() | InputFeatureSelector | [virtual] |
