FactorSVResult.n_kept#
- property FactorSVResult.n_kept: int[source]#
Posterior draws retained,
S = (n_draws - n_burn) // thin.Example
>>> import numpy as np >>> y = np.random.default_rng(0).standard_normal((120, 3)) >>> res = FactorSV(y, n_factors=1).fit(n_draws=100, n_burn=20, thin=4, seed=0) >>> res.n_kept, res.loading_draws.shape[0] (20, 20)