This is the complete list of members for PMMLlib::PMMLlib, including all inherited members.
| _currentModelName | PMMLlib::PMMLlib | private |
| _currentModelNode | PMMLlib::PMMLlib | private |
| _currentModelType | PMMLlib::PMMLlib | private |
| _currentNode | PMMLlib::PMMLlib | private |
| _doc | PMMLlib::PMMLlib | private |
| _getProp(const xmlNodePtr node, std::string const &prop) const | PMMLlib::PMMLlib | private |
| _log | PMMLlib::PMMLlib | private |
| _nbModels | PMMLlib::PMMLlib | private |
| _pmmlFile | PMMLlib::PMMLlib | private |
| _rootNode | PMMLlib::PMMLlib | private |
| _stringToXmlChar(const std::string &s) const | PMMLlib::PMMLlib | private |
| _xmlCharToString(const xmlChar *xs) const | PMMLlib::PMMLlib | private |
| AddDataField(std::string name, std::string displayName, std::string optype, std::string dataType, std::string closure, double leftMargin, double rightMargin, bool interval=false) | PMMLlib::PMMLlib | |
| AddMiningSchema(std::string name, std::string usageType) | PMMLlib::PMMLlib | |
| AddNeuralInput(int id, std::string inputName, std::string optype, std::string dataType, double orig1, double norm1, double orig2, double norm2) | PMMLlib::PMMLlib | |
| AddNeuralLayer(PMMLActivationFunction activationFunction) | PMMLlib::PMMLlib | |
| AddNeuralNetwork(std::string modelName, PMMLMiningFunction functionName) | PMMLlib::PMMLlib | |
| AddNeuralOutput(int outputNeuron, std::string outputName, std::string optype, std::string dataType, double orig1, double norm1, double orig2, double norm2) | PMMLlib::PMMLlib | |
| AddNeuron(int id, double bias, int conNb, int firstFrom, std::vector< double > weights) | PMMLlib::PMMLlib | |
| AddNumericPredictor(std::string neuronName, int exponent, double coefficient) | PMMLlib::PMMLlib | |
| AddPredictorTerm(double coefficient, std::vector< std::string > fieldRef) | PMMLlib::PMMLlib | |
| AddRegressionModel(std::string modelName, PMMLMiningFunction functionName, std::string targetFieldName) | PMMLlib::PMMLlib | |
| AddRegressionTable() | PMMLlib::PMMLlib | |
| AddRegressionTable(double intercept) | PMMLlib::PMMLlib | |
| BackupNode() | PMMLlib::PMMLlib | |
| CheckNeuralNetwork() | PMMLlib::PMMLlib | private |
| CheckRegression() | PMMLlib::PMMLlib | private |
| CountModels() | PMMLlib::PMMLlib | private |
| CountNeuralNetModels() | PMMLlib::PMMLlib | private |
| CountRegressionModels() | PMMLlib::PMMLlib | private |
| ExportCpp(std::string file, std::string functionName, std::string header) | PMMLlib::PMMLlib | |
| ExportFortran(std::string file, std::string functionName, std::string header) | PMMLlib::PMMLlib | |
| ExportLinearRegressionCpp(std::string, std::string, std::string) | PMMLlib::PMMLlib | private |
| ExportLinearRegressionFortran(std::string, std::string, std::string) | PMMLlib::PMMLlib | private |
| ExportLinearRegressionPyStr(std::string functionName, std::string header) | PMMLlib::PMMLlib | private |
| ExportLinearRegressionPython(std::string, std::string, std::string) | PMMLlib::PMMLlib | private |
| ExportNeuralNetworkCpp(std::string file, std::string functionName, std::string header) | PMMLlib::PMMLlib | private |
| ExportNeuralNetworkFortran(std::string file, std::string functionName, std::string header) | PMMLlib::PMMLlib | private |
| ExportNeuralNetworkPyStr(std::string functionName, std::string header) | PMMLlib::PMMLlib | private |
| ExportNeuralNetworkPython(std::string file, std::string functionName, std::string header) | PMMLlib::PMMLlib | private |
| ExportPyStr(std::string functionName, std::string header) | PMMLlib::PMMLlib | |
| ExportPython(std::string file, std::string functionName, std::string header) | PMMLlib::PMMLlib | |
| fillVectorsForExport(int nInput, int nOutput, int nHidden, int normType, std::vector< double > &minInput, std::vector< double > &maxInput, std::vector< double > &minOutput, std::vector< double > &maxOutput, std::vector< double > &valW) | PMMLlib::PMMLlib | private |
| GetChildByName(xmlNodePtr node, std::string nodename) | PMMLlib::PMMLlib | private |
| GetCurrentModelName() | PMMLlib::PMMLlib | |
| GetCurrentModelType() | PMMLlib::PMMLlib | |
| GetModelName(xmlNodePtr node) | PMMLlib::PMMLlib | private |
| GetModelsNb() | PMMLlib::PMMLlib | |
| GetNameInput(int input_index) | PMMLlib::PMMLlib | |
| GetNameOutput(int output_index) | PMMLlib::PMMLlib | |
| GetNbHiddenLayers() | PMMLlib::PMMLlib | |
| GetNbInputs() | PMMLlib::PMMLlib | |
| GetNbLayers() | PMMLlib::PMMLlib | |
| GetNbNeuronsAtLayer(int layer_index) | PMMLlib::PMMLlib | |
| GetNbOutputs() | PMMLlib::PMMLlib | |
| GetNeuralNetPtr(std::string ann_name) | PMMLlib::PMMLlib | private |
| GetNeuralNetPtr(int ann_index) | PMMLlib::PMMLlib | private |
| GetNeuronBias(int layer_index, int neu_index) | PMMLlib::PMMLlib | |
| GetNormalisationInput(int input_index, double *dnorm) | PMMLlib::PMMLlib | |
| GetNormalisationOutput(int output_index, double *dnorm) | PMMLlib::PMMLlib | |
| GetNormalizationType() | PMMLlib::PMMLlib | |
| GetNumericPredictorCoefficient(int num_pred_index) | PMMLlib::PMMLlib | |
| GetNumericPredictorName(int num_pred_index) | PMMLlib::PMMLlib | |
| GetNumericPredictorNb() | PMMLlib::PMMLlib | |
| GetPrecNeuronSynapse(int layer_index, int neu_index, int prec_index) | PMMLlib::PMMLlib | |
| GetPredictorTermCoefficient(int pred_term_index) | PMMLlib::PMMLlib | |
| GetPredictorTermFieldRefName(int pred_term_index, int field_index) | PMMLlib::PMMLlib | |
| GetPredictorTermFieldRefNb(int pred_term_index) | PMMLlib::PMMLlib | |
| GetPredictorTermName(int num_pred_index) | PMMLlib::PMMLlib | |
| GetPredictorTermNb() | PMMLlib::PMMLlib | |
| GetPtr(int ann_index, std::string name) | PMMLlib::PMMLlib | private |
| GetPtr(std::string ann_name, std::string name) | PMMLlib::PMMLlib | private |
| GetRegressionPtr(int reg_index) | PMMLlib::PMMLlib | private |
| GetRegressionPtr(std::string reg_name) | PMMLlib::PMMLlib | private |
| GetRegressionTableIntercept() | PMMLlib::PMMLlib | |
| GetTypeString() | PMMLlib::PMMLlib | private |
| HasIntercept() | PMMLlib::PMMLlib | |
| makeLog() const | PMMLlib::PMMLlib | |
| PMMLlib(std::string file, bool log=false) | PMMLlib::PMMLlib | |
| PMMLlib(bool log=false) | PMMLlib::PMMLlib | |
| printLog() const | PMMLlib::PMMLlib | |
| ReadNetworkStructure() | PMMLlib::PMMLlib | |
| ReadRegressionStructure() | PMMLlib::PMMLlib | |
| SetCurrentModel(std::string modelName, PMMLType type) | PMMLlib::PMMLlib | |
| SetCurrentModel(std::string modelName) | PMMLlib::PMMLlib | |
| SetCurrentModel() | PMMLlib::PMMLlib | |
| SetHeader(std::string copyright, std::string description, std::string appName, std::string appVersion, std::string annotation) | PMMLlib::PMMLlib | |
| SetNeuralNetName(int ann_index, std::string ann_name) | PMMLlib::PMMLlib | |
| SetRootNode() | PMMLlib::PMMLlib | private |
| UnlinkNode() | PMMLlib::PMMLlib | |
| Write() | PMMLlib::PMMLlib | |
| Write(std::string file) | PMMLlib::PMMLlib | |
| ~PMMLlib() | PMMLlib::PMMLlib |