| all_timestamp_per_dimension_ | IProcess | protected |
| arrayG | HawkesLearningTriggeringKernel | protected |
| arrayK | HawkesLearningTriggeringKernel | protected |
| erfctau_sigma_ | HawkesLearningTriggeringKernel | protected |
| fit(const std::vector< Sequence > &data, const OPTION &options) | HawkesLearningTriggeringKernel | |
| GetNegLoglikelihood(double &objvalue, Eigen::VectorXd &gradient) | HawkesLearningTriggeringKernel | protected |
| GetNumDims() | IProcess | inline |
| GetParameters() | IProcess | inline |
| Gradient(const unsigned &k, Eigen::VectorXd &gradient) | HawkesLearningTriggeringKernel | virtual |
| graph_ | HawkesLearningTriggeringKernel | protected |
| GROUP enum value | HawkesLearningTriggeringKernel | |
| HawkesLearningTriggeringKernel(const unsigned &n, const unsigned &num_dims, const Eigen::VectorXd &tau, const Eigen::VectorXd &sigma) | HawkesLearningTriggeringKernel | inline |
| HawkesLearningTriggeringKernel(const unsigned &n, const unsigned &num_dims, const Graph *graph, const Eigen::VectorXd &tau, const Eigen::VectorXd &sigma) | HawkesLearningTriggeringKernel | inline |
| Initialize(const std::vector< Sequence > &data) | HawkesLearningTriggeringKernel | protected |
| InitializeConstants() | HawkesLearningTriggeringKernel | protected |
| InitializeDimension(const std::vector< Sequence > &data) | IProcess | protected |
| InitializeWithGraph(const std::vector< Sequence > &data) | HawkesLearningTriggeringKernel | protected |
| Intensity(const double &t, const Sequence &data, Eigen::VectorXd &intensity_dim) | HawkesLearningTriggeringKernel | virtual |
| IntensityIntegral(const double &lower, const double &upper, const Sequence &data) | HawkesLearningTriggeringKernel | virtual |
| IntensityUpperBound(const double &t, const double &L, const Sequence &data, Eigen::VectorXd &intensity_upper_dim) | HawkesLearningTriggeringKernel | virtual |
| IProcess(const unsigned &n, const unsigned &num_dims) | IProcess | inline |
| L22 enum value | HawkesLearningTriggeringKernel | |
| LAMBDA enum value | HawkesLearningTriggeringKernel | |
| LAMBDA0 enum value | HawkesLearningTriggeringKernel | |
| NegLoglikelihood(double &objvalue, Eigen::VectorXd &gradient) | HawkesLearningTriggeringKernel | virtual |
| NONE enum value | HawkesLearningTriggeringKernel | |
| num_dims_ | IProcess | protected |
| num_rbfs_ | HawkesLearningTriggeringKernel | protected |
| num_sequences_ | HawkesLearningTriggeringKernel | protected |
| observation_window_T_ | HawkesLearningTriggeringKernel | protected |
| options_ | HawkesLearningTriggeringKernel | protected |
| parameters_ | IProcess | protected |
| PI | HawkesLearningTriggeringKernel | protected |
| PlotIntensityFunction(const Sequence &data) | IProcess | |
| PlotIntensityFunction(const Sequence &data, const unsigned &dim_id) | IProcess | |
| PlotTriggeringKernel(const unsigned &dim_m, const unsigned &dim_n, const double &T, const double &delta) | HawkesLearningTriggeringKernel | |
| PostProcessing() | HawkesLearningTriggeringKernel | protected |
| PredictNextEventTime(const Sequence &data, const unsigned &num_simulations) | HawkesLearningTriggeringKernel | virtual |
| RegCoef enum name | HawkesLearningTriggeringKernel | |
| Regularizer enum name | HawkesLearningTriggeringKernel | |
| SetParameters(const Eigen::VectorXd &v) | IProcess | inline |
| sigma_ | HawkesLearningTriggeringKernel | protected |
| sqrt2PIsigma_ | HawkesLearningTriggeringKernel | protected |
| sqrt2sigma_ | HawkesLearningTriggeringKernel | protected |
| tau_ | HawkesLearningTriggeringKernel | protected |
1.8.11
