non_uniform_lhs_categorical#
- obsidian.experiment.advanced_design.non_uniform_lhs_categorical(level_dict, n_samples, seed=None, scramble=True)[source]#
Draw LHS-stratified categorical samples using inverse-transform sampling with per-level frequency weights.
- Parameters:
level_dict – Dict mapping level name →
{'freq': float, subparam: ([values], [weights]), ...}.n_samples – Number of samples to draw.
seed – Random seed. Defaults to None.
scramble – Whether to scramble the LHS sampler. Defaults to True.
- Returns:
- One dict per sample containing
'level'and any sampled subparameter values.
- One dict per sample containing
- Return type:
list[dict]