def eval_old_expts(expt, folder):
pc = "mac"
data_params = params.SeparateData()
inference_params = params.StatesSeparateInference()
data = wrapper.get_data(pc, expt, data_params)
stats = diagnostics.get_world_stats_old_expt(folder)
diagnostics.world_probs_vs_empirical(stats, 1, data, folder + 'new/')
def wrap_and_diagnose(pc, expt, data_params, inference_params,
return_stats=False, expt_details='',
run_diagnostics=False, specified_start=None):
assert inference_params.burnin <= inference_params.num_mh_question
results_folder, log_folder = make_folders(expt, expt_details,
inference_params)
print("Results saved in {0}".format(results_folder))
results = mh_wrapper(pc, expt, data_params, inference_params,
return_stats, results_folder, log_folder,
specified_start)
q_results, indiv_results, data = results
if run_diagnostics: #all_diagnostics contains lots of useful diagnostics
diagnostics.save_stats_multiple_chains(q_results, data.qnames,
inference_params.num_chains,
results_folder)
diagnostics.world_probs_vs_empirical(q_results,
inference_params.num_chains, data,
results_folder)
if indiv_results is not None:
diagnostics.save_indiv_stats(indiv_results, data.subject_order,
results_folder)
return q_results, indiv_results, data