Man pages for behavioral-ds/evently
Fit Hawkes and HawkesN Processes with AMPL and Ipopt
| auspol | '#auspol' hash tagged retweet diffusions |
| evently | Fitting Hawkes processes with AMPL |
| fits_dist_matrix | Given a list of grouped fits, compute a distance matrix |
| fit_series | Fit a Hawkes process or HawkesN process model on one or many... |
| generate_features | Given a list of group-fits produced by 'group_fit_series',... |
| generate_series | Main function to generate a Hawkes process sequence. It... |
| generate_user_magnitude | Function for sampling from the powerlaw distribution of user... |
| get_a1 | Calculating the expected size of first level of descendants |
| get_branching_factor | Branching factor is the expected number of events generated... |
| get_hawkes_neg_likelihood_value | Compute the negative log-likelihood values of a given model... |
| get_model_intensity_at | Compute the intensity value of a given model at time t |
| get_viral_score | Viral score is the total reaction of the system to a single... |
| group_fit_series | Given a list of cascades, this function fits each cascade... |
| melt_snowflake | Inversely transform a Twitter id back to its components... |
| new_hawkes | Create a new hawkes model with given arguments |
| parse_raw_tweets_to_cascades | This function extracts cascades from a given jsonl file where... |
| plot_event_series | Plot a Hawkes process and its intensity function |
| plot_kernel_function | Plot the kernel functions of Hawkes processes |
| predict_final_popularity | Predict the final popularity (event count) of give histories... |
| prepare_tmp_file | Prepare the temporary auxilixry files for AMPL |
| set_tmp_folder | Set up the folder for placing temporary files, defaults to... |
| setup_ampl | Set up the AMPL environment by downloading an AMPL demo... |
