PyMC3 3.11.1 (12 February 2021)

New Features

• Automatic imputations now also work with ndarray data, not just pd.Series or pd.DataFrame (see#4439).
• pymc3.sampling_jax.sample_numpyro_nuts now returns samples from transformed random variables, rather than from the unconstrained representation (see #4427).

Maintenance

• We upgraded to Theano-PyMC v1.1.2 which includes bugfixes for...
  • ⚠ a problem with tt.switch that affected the behavior of several distributions, including at least the following special cases (see #4448)
    1. Bernoulli when all the observed values were the same (e.g., [0, 0, 0, 0, 0]).
    2. TruncatedNormal when sigma was constant and mu was being automatically broadcasted to match the shape of observations.
  • Warning floods and compiledir locking (see #4444)
• math.log1mexp_numpy no longer raises RuntimeWarning when given very small inputs. These were commonly observed during NUTS sampling (see #4428).
• ScalarSharedVariable can now be used as an input to other RVs directly (see #4445).
• pm.sample and pm.find_MAP no longer change the start argument (see #4458).
• Fixed Dirichlet.logp method to work with unit batch or event shapes (see #4454).
• Bugfix in logp and logcdf methods of Triangular distribution (see #4470).

Release manager for 3.11.1: Michael Osthege (@michaelosthege)