Functions
| get_query(samplerid) | Returns a set of parameters to query the forward model with |
| initialise_sampler() | Initialise the Sampler Model This expects a dict containing: lower : a list of the lower bounds of the region of interest upper : a list of the upper bounds of the region of interest X_train : training data to train the sampler. |
| predict(samplerid) | provides a prediction of the forward model at a set of given query |
| retrieve_settings(samplerid) | provides lists of the settings used by the sampler. |
| retrieve_trainingdata(samplerid) | provides lists of the real and virtual training data used by the sampler. |
| returns_json(f) | A decorator for Flask route handlers that return JSON. |
| update_sampler(samplerid, uid) | updates the sampler with the forward model's observation |
Classes
| StackedGP | alias of Stacked_Gaussian_Process |