grama.eval package

Submodules

grama.eval.eval_pyDOE module

grama.eval.eval_pyDOE.eval_lhs

Latin Hypercube evaluation Evaluates a given model on a latin hypercube sample (LHS) using the model’s density. :param model: Model to evaluate :type model: gr.Model :param n: Number of LHS samples to draw :type n: numeric :param df_det: Deterministic levels for evaluation; use “nom”

for nominal deterministic levels.
Parameters:
  • seed (int) – Random seed to use
  • append (bool) – Append results to conservative inputs?
  • skip (bool) – Skip evaluation of the functions?
  • criterion (str) – flag for LHS sample criterion allowable values: None, “center” (“c”), “maxmin” (“m”), “centermaxmin” (“cm”), “correlation” (“corr”)
Returns:

Results of evaluation or unevaluated design
Return type:

DataFrame

Notes

  • Wrapper on pyDOE.lhs

Module contents