init

pyoptex.doe.cost_optimal.init.init(params, n=1, complete=False)[source]

Initialize a design with n randomly sampled runs. They must be within the constraints.

Parameters

paramsParameters

The simulation parameters.

nint

The number of runs to initialize

completebool

False means use the coordinates and prior specified in params, otherwise, no coords or prior are used. Can be used to perform a complete sample of the design space.

Returns

runnp.array(2d)

The resulting design.