MultiDimensionalBudgetOptimizerWrapper.sample_response_distribution

MultiDimensionalBudgetOptimizerWrapper.sample_response_distribution(allocation_strategy, noise_level=0.001)

Generate synthetic dataset and sample posterior predictive based on allocation.

Parameters:

allocation_strategyDataArray

The allocation strategy for the channels.

noise_levelfloat

The relative level of noise to add to the data allocation.

Returns:

az.InferenceData

The posterior predictive samples based on the synthetic dataset.