uniform_driver.py

OpenMDAO design-of-experiments driver implementing the Uniform method.

class openmdao.drivers.uniform_driver.UniformDriver(num_samples=1, seed=None, num_par_doe=1, load_balance=False)[source]

Bases: openmdao.drivers.predeterminedruns_driver.PredeterminedRunsDriver

Design-of-experiments Driver implementing the Uniform method.

Args:

num_samples : int, optional

The number of samples to run. Defaults to 1.

seed : iint, optional

Seed for randon number generator.

num_par_doe : int, optional

The number of DOE cases to run concurrently. Defaults to 1.

load_balance : bool, Optional

If True, use rank 0 as master and load balance cases among all of the other ranks. Defaults to False.