| allocateMemory() | LogisticRegression | private |
| dg(double a) | LogisticRegression | private |
| error(double *output) | LogisticRegression | private |
| freeMemory() | LogisticRegression | private |
| FunctionApproximator() | FunctionApproximator | inline |
| g(double a) | LogisticRegression | private |
| GetInput(std::vector< double > &input, const std::vector< double > &target) | LogisticRegression | inlinevirtual |
| getInputWeight(int inp, int outp=0) | LogisticRegression | inlinevirtual |
| getLearnRate() | FunctionApproximator | virtual |
| getNumInputs() | LogisticRegression | inlinevirtual |
| getOutputActivation() | FunctionApproximator | inline |
| getWeightFrequency(unsigned int weightNum, unsigned int whichOutput=0) | LogisticRegression | |
| getWeightUpdateAverage(std::vector< double > &var, unsigned int which=0) | LogisticRegression | |
| getWeightUpdateAverage(unsigned int weightNum, unsigned int whichOutput=0) | LogisticRegression | |
| getWeightUpdateSum(std::vector< double > &var, unsigned int which=0) | LogisticRegression | |
| getWeightUpdateSum(unsigned int weightNum, unsigned int whichOutput=0) | LogisticRegression | |
| getWeightUpdateVariance(std::vector< double > &var, unsigned int which=0) | LogisticRegression | |
| getWeightUpdateVariance(unsigned int weightNum, unsigned int whichOutput=0) | LogisticRegression | |
| inputs | LogisticRegression | private |
| load(const char *) | LogisticRegression | virtual |
| load(FILE *) | LogisticRegression | virtual |
| load(const FunctionApproximator *fa) | LogisticRegression | inlinevirtual |
| load(const LogisticRegression *) | LogisticRegression | |
| LogisticRegression(int _inputs, int _outputs, double learnrate) | LogisticRegression | |
| LogisticRegression(LogisticRegression *) | LogisticRegression | |
| LogisticRegression(char *) | LogisticRegression | |
| LogisticRegression(FunctionApproximator *) | LogisticRegression | |
| output | LogisticRegression | private |
| outputActivation | FunctionApproximator | protected |
| outputerr(std::vector< double > &output, std::vector< double > &expected, int which) | LogisticRegression | private |
| outputs | LogisticRegression | private |
| Print() | LogisticRegression | virtual |
| rate | FunctionApproximator | protected |
| resetWeightVariance(unsigned int weightNum, unsigned int whichOutput=0) | LogisticRegression | |
| resetWeightVariance() | LogisticRegression | |
| resizeInputs(int newSize, double newVal) | LogisticRegression | |
| resizeInputs(int newSize) | LogisticRegression | |
| save(const char *) | LogisticRegression | virtual |
| save(FILE *) | LogisticRegression | virtual |
| setInputWeight(double value, unsigned int weightNum, unsigned int whichOutput=0) | LogisticRegression | |
| setLearnRate(double) | FunctionApproximator | virtual |
| setOutputActivation(tActivation t) | FunctionApproximator | inline |
| setUseBinary(bool binary) | LogisticRegression | inline |
| test(const std::vector< double > &input) | LogisticRegression | virtual |
| test(const std::vector< unsigned int > &input) | LogisticRegression | virtual |
| train(std::vector< double > &input, std::vector< double > &output2) | LogisticRegression | virtual |
| train(std::vector< unsigned int > &input, std::vector< double > &output2) | LogisticRegression | virtual |
| updates | LogisticRegression | private |
| useBinary | LogisticRegression | private |
| validSaveFile(char *fname) | LogisticRegression | static |
| weight | LogisticRegression | private |
| ~FunctionApproximator() | FunctionApproximator | inlinevirtual |
| ~LogisticRegression() | LogisticRegression | |
