Contents Menu Expand Light mode Dark mode Auto light/dark, in light mode Auto light/dark, in dark mode Skip to content
DynGPT 0.1.0 documentation
Logo

Contents

  • Installation
  • Examples
    • Example 1: Gene expression model
    • Example 2: Epidemic model
    • Example 3: Signaling cascade model
    • Example 4: Non-Markovian RNA splicing model
  • API
    • dyngpt.solver.pre_training
    • dyngpt.solver.fine_tune_training
    • dyngpt.solver.solving_STN
    • dyngpt.inferrer.inferring_dynamics
    • dyngpt.tl.update_default_config
    • dyngpt.tl.update_dynmodel_config
    • dyngpt.tl.load_synthetic_data
    • dyngpt.tl.compute_sampling_stats
    • dyngpt.tl.compute_kl_stats
    • dyngpt.pl.plot_loss
    • dyngpt.pl.plot_model_comparison_stats
    • dyngpt.pl.plot_distribution_comparison_nd
    • dyngpt.pl.plot_param_posterior_dist
    • dyngpt.pl.plot_hist_2d
    • dyngpt.pl.plot_boxplot
    • dyngpt.pl.plot_scatter
    • dyngpt.pl.plot_density
    • dyngpt.pl.plot_jointplot
    • dyngpt.pl.plot_hist_density
Back to top
View this page
  • Example 2: Epidemic model
    • 1. Construct configuration file
    • 2. Generate datasets
    • 3. Train DynGPT-Solver
    • 4. Infer the parameters with DynGPT-Inferrer
Next
Example 2: Epidemic model
Previous
Example 1: Gene expression model
Copyright © 2025, ZhiweiHuang
Made with Sphinx and @pradyunsg's Furo