Description
Normalizes a probabilistic model. The function will automatically choose, based on the number of dimensions in the input distribution, which of two modes of operation to use:
- For a small number (default < 30) of input dimensions the model will be explicitly normalized by summing over all possible states.
- For a large number (default ≥ 30) of input dimensions it will compute an approximate normalization using the Wang-Landau algorithm. The function does this by internally calling the function wangLandau, and accepts the same arguments.