alabi

• alabi package
  • alabi.benchmarks module
    • benchmarks.py
    • random_gaussian_covariance()
    • multimodal_gaussian_nd()
  • alabi.cache_utils module
    • cache_utils.py
    • load_pickle()
    • load_model_cache()
    • write_report_gp()
    • write_report_emcee()
    • write_report_dynesty()
  • alabi.core module
    • core.py
    • SurrogateModel
      • SurrogateModel.gp
      • SurrogateModel.bounds
      • SurrogateModel._bounds
      • SurrogateModel._theta
      • SurrogateModel._y
      • SurrogateModel.ntrain
      • SurrogateModel.ndim
      • SurrogateModel.emcee_samples
      • SurrogateModel.dynesty_samples
      • SurrogateModel.__init__()
      • SurrogateModel.save()
      • SurrogateModel.theta()
      • SurrogateModel.y()
      • SurrogateModel.refit_scalers()
      • SurrogateModel.init_train()
      • SurrogateModel.load_train()
      • SurrogateModel.init_samples()
      • SurrogateModel.set_hyperparam_prior_bounds()
      • SurrogateModel.expand_hyperparameter_vector()
      • SurrogateModel.set_hyperparameter_vector()
      • SurrogateModel.get_hyperparameter_dict()
      • SurrogateModel.get_hyperparameter_vector()
      • SurrogateModel.init_gp()
      • SurrogateModel.eval_gp_at_iteration()
      • SurrogateModel.surrogate_log_likelihood()
      • SurrogateModel.surrogate_likelihood()
      • SurrogateModel.create_cached_surrogate_likelihood()
      • SurrogateModel.find_max_surrogate()
      • SurrogateModel.find_next_point()
      • SurrogateModel.active_train()
      • SurrogateModel.active_train_parallel()
      • SurrogateModel.lnprob()
      • SurrogateModel.find_map()
      • SurrogateModel.run_emcee()
      • SurrogateModel.run_dynesty()
      • SurrogateModel.run_pymultinest()
      • SurrogateModel.run_ultranest()
      • SurrogateModel.plot()
      • SurrogateModel.get_chain_diversity_metrics()
    • CachedSurrogateLikelihood
      • CachedSurrogateLikelihood.__init__()
  • alabi.gp_utils module
    • gp_utils.py
    • configure_gp()
    • optimize_gp()
    • optimize_gp_kfold_cv()
    • regularization_term()
    • regularization_gradient()
  • alabi.mcmc_utils module
    • mcmc_utils.py
    • estimate_burnin()
  • alabi.utility module
    • utility.py
    • agp_utility()
    • bape_utility()
    • jones_utility()
    • assign_utility()
    • minimize_objective()
    • prior_sampler()
    • prior_sampler_normal()
    • lnprior_uniform()
    • prior_transform_uniform()
    • lnprior_normal()
    • prior_transform_normal()
    • BetaWarpingFunction
      • BetaWarpingFunction.__init__()
      • BetaWarpingFunction.fit()
      • BetaWarpingFunction.transform()
      • BetaWarpingFunction.fit_transform()
      • BetaWarpingFunction.inverse_transform()
    • beta_warping_transformer()
    • NewFunctionTransformer
      • NewFunctionTransformer.__init__()
  • alabi.visualization module
    • visualization.py
    • plot_error_vs_iteration()
    • plot_hyperparam_vs_iteration()
    • plot_train_time_vs_iteration()
    • plot_corner_lnp()
    • plot_corner_scatter()
    • plot_gp_fit_1D()
    • plot_gp_fit_2D()
    • plot_contour_2D()
    • plot_true_fit_2D()
    • plot_utility_2D()
    • plot_dynesty_traceplot()
    • plot_dynesty_runplot()
    • plot_mcmc_comparison()
    • plot_sampler_comparison()
    • plot_2D_panel4()
    • plot_gp_predictions_1D()