|
HOG2
|
This is the complete list of members for LinearRegression, including all inherited members.
| allocateMemory() | LinearRegression | private |
| dg(double a) | LinearRegression | private |
| error(double *output) | LinearRegression | private |
| freeMemory() | LinearRegression | private |
| FunctionApproximator() | FunctionApproximator | inline |
| g(double a) | LinearRegression | private |
| GetInput(std::vector< double > &input, const std::vector< double > &target) | LinearRegression | inlinevirtual |
| getInputWeight(int inp, int outp=0) | LinearRegression | inlinevirtual |
| getLearnRate() | FunctionApproximator | virtual |
| getNumInputs() | LinearRegression | inlinevirtual |
| getOutputActivation() | FunctionApproximator | inline |
| getWeightFrequency(unsigned int weightNum, unsigned int whichOutput=0) | LinearRegression | |
| getWeightUpdateAverage(std::vector< double > &var, unsigned int which=0) | LinearRegression | |
| getWeightUpdateAverage(unsigned int weightNum, unsigned int whichOutput=0) | LinearRegression | |
| getWeightUpdateSum(std::vector< double > &var, unsigned int which=0) | LinearRegression | |
| getWeightUpdateSum(unsigned int weightNum, unsigned int whichOutput=0) | LinearRegression | |
| getWeightUpdateVariance(std::vector< double > &var, unsigned int which=0) | LinearRegression | |
| getWeightUpdateVariance(unsigned int weightNum, unsigned int whichOutput=0) | LinearRegression | |
| inputs | LinearRegression | private |
| LinearRegression(int _inputs, int _outputs, double learnrate) | LinearRegression | |
| LinearRegression(LinearRegression *) | LinearRegression | |
| LinearRegression(char *) | LinearRegression | |
| LinearRegression(FunctionApproximator *) | LinearRegression | |
| load(const char *) | LinearRegression | virtual |
| load(FILE *) | LinearRegression | virtual |
| load(const FunctionApproximator *fa) | LinearRegression | inlinevirtual |
| load(const LinearRegression *) | LinearRegression | |
| output | LinearRegression | private |
| outputActivation | FunctionApproximator | protected |
| outputerr(std::vector< double > &output, std::vector< double > &expected, int which) | LinearRegression | private |
| outputs | LinearRegression | private |
| Print() | LinearRegression | virtual |
| rate | FunctionApproximator | protected |
| resetWeightVariance(unsigned int weightNum, unsigned int whichOutput=0) | LinearRegression | |
| resetWeightVariance() | LinearRegression | |
| resizeInputs(int newSize, double newVal) | LinearRegression | |
| resizeInputs(int newSize) | LinearRegression | |
| save(const char *) | LinearRegression | virtual |
| save(FILE *) | LinearRegression | virtual |
| setInputWeight(double value, unsigned int weightNum, unsigned int whichOutput=0) | LinearRegression | |
| setLearnRate(double) | FunctionApproximator | virtual |
| setOutputActivation(tActivation t) | FunctionApproximator | inline |
| setUseBinary(bool binary) | LinearRegression | inline |
| test(const std::vector< double > &input) | LinearRegression | virtual |
| test(const std::vector< unsigned int > &input) | LinearRegression | virtual |
| train(std::vector< double > &input, std::vector< double > &output2) | LinearRegression | virtual |
| train(std::vector< unsigned int > &input, std::vector< double > &output2) | LinearRegression | virtual |
| updates | LinearRegression | private |
| useBinary | LinearRegression | private |
| validSaveFile(char *fname) | LinearRegression | static |
| weight | LinearRegression | private |
| ~FunctionApproximator() | FunctionApproximator | inlinevirtual |
| ~LinearRegression() | LinearRegression |
1.8.17