pystra.active_learning.subset.SubsetLevel#
Use it: User guide · Worked example · Theory
- class SubsetLevel(threshold, conditional_probability, n_samples, n_chains, variance_factor, acceptance_rate)[source]#
Bases:
objectOne level’s threshold, conditional probability and chain diagnostics.
The final probability concerns mean <= 0, while exploratory intermediate levels condition on mean - 2 std.
variance_factorcompares a chain cluster variance estimate with IID Bernoulli variance, floored at one. It does not account for ancestry shared by chains at different levels.acceptance_rateconcerns proposals generating this level (one at the initial IID level). Seeds are included in each conditional chain.Methods