optbayesexpt API

• OptBayesExpt is the core class that performs Bayesian inference and selects measurement settings. Typically, it is the only class that a user will need to interact with directly.

• OptBayesExptNoiseParameter is similar to OptBayesExpt but is designed for cases where the measurement uncertainty is a parameter to be estimated.

• ParticlePDF is inherited by OptBayesExpt to handle the duties of a probability distribution functions.

• OBE_Server class provides communication with other processes through a mini-language of label-value commands.

• Socket class is inherited by Server to handle TCP connections and message encoding/decoding.

• The obe_utils.py file provides

  • A MeasurementSimulator class that uses “true value” parameters and added noise to simulate experimental outputs.

  • For post-processing, a trace_sort() function sorts measurement data by measurement setting and combines all measurements with settings in common.

  • A differential_entropy() function to calculate information entropy from samples of a distribution.

• OptBayesExpt class
  • OptBayesExpt
    • N_DRAWS
    • allsettings
    • choke
    • cons
    • cost_estimate()
    • default_noise_std
    • enforce_parameter_constraints()
    • eval_over_all_parameters()
    • eval_over_all_settings()
    • get_setting()
    • good_setting()
    • last_setting_index
    • likelihood()
    • measurement_results
    • model_function
    • n_channels
    • opt_setting()
    • parameters
    • pdf_update()
    • pickiness
    • random_setting()
    • set_n_draws()
    • setting_indices
    • setting_values
    • utility()
    • utility_full_kld()
    • utility_max_min()
    • utility_pseudo()
    • utility_variance()
    • y_var_noise_model()
    • yvar_from_entropy()
    • yvar_from_parameter_draws()
    • yvar_max_min()
    • yvar_noise_model()
• OptBayesExptNoiseParam class
  • OptBayesExptNoiseParameter
    • enforce_parameter_constraints()
    • likelihood()
    • noise_parameter_index
    • yvar_noise_model()
• OBE_Server class
  • OBE_Server
    • obe_engine
    • initial_args
    • initial_kwargs
    • make_obe()
    • newrun()
    • run()
• OBE_Socket class
  • Socket
    • server
    • connection
    • close()
    • receive()
    • send()
    • tcpcmd()
• ParticlePDF class
  • ParticlePDF
    • bayesian_update()
    • covariance()
    • just_resampled
    • mean()
    • n_dims
    • n_particles
    • particle_weights
    • particles
    • randdraw()
    • resample()
    • resample_test()
    • set_pdf()
    • std()
    • tuning_parameters
• Utilities
  • MeasurementSimulator
    • simdata()
  • differential_entropy()
  • trace_sort()