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| NNParams (const gnn::GNNParams *_gnn, int _n_samples, int _max_iters, double _epsilon, const vectorvd &_ssm_sigma, const vectorvd &_ssm_mean, const vectord &_pix_sigma, bool _additive_update, int _show_samples, int _add_samples_gap, int _n_samples_to_add, int _remove_samples, bool load_index, bool _save_index, std::string _saved_index_dir, bool _debug_mode) |
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| NNParams (const NNParams *params=nullptr) |
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bool | processDistributions (vector< VectorXd > &state_sigma, vector< VectorXd > &state_mean, VectorXi &distr_n_samples, unsigned int &n_distr, unsigned int ssm_state_size) |
| parse the provided mean and sigma and apply several priors to get the final parameters for all distributions
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gnn::GNNParams | gnn |
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int | n_samples |
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int | max_iters |
| maximum iterations of the NN algorithm to run for each frame
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double | epsilon |
| maximum L2 norm of the state update vector at which to stop the iterations
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vectorvd | ssm_sigma |
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vectorvd | ssm_mean |
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vectord | pix_sigma |
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bool | additive_update |
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int | show_samples |
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int | add_samples_gap |
| gap between frames at which the index is updated with new samples 0 disables the addition of samples
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int | n_samples_to_add |
| no. of samples added to the index at each update
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int | remove_samples |
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bool | save_index |
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bool | load_index |
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std::string | saved_index_dir |
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bool | debug_mode |
| decides whether logging data will be printed for debugging purposes; only matters if logging is enabled at compile time
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The documentation for this struct was generated from the following file: