ModelEnsemble¶
-
class
pyapprox.control_variate_monte_carlo.ModelEnsemble(functions, names=None)[source]¶ Bases:
objectWrapper class to allow easy one-dimensional indexing of models in an ensemble.
Methods Summary
__call__(samples)Evaluate a set of models at a set of samples
Methods Documentation
-
__call__(samples)[source]¶ Evaluate a set of models at a set of samples
- Parameters
- samplesnp.ndarray (nvars+1,nsamples)
Realizations of a multivariate random variable each with an additional scalar model id indicating which model to evaluate.
- Returns
- valuesnp.ndarray (nsamples,nqoi)
The values of the models at samples
-