From 561fbeea7dfe6ef6dbad4bb3632e9d903d120bc3 Mon Sep 17 00:00:00 2001 From: Thomas Pinder Date: Wed, 4 Nov 2026 10:02:31 +0100 Subject: [PATCH] chore(release): v0.1.4 Bumps the version to 0.1.4 to ship #398 (spec #393), the two root fixes behind pymc-labs/pymc-marketing#3293: - `VAR.exog_prior_scale` accepts a tuple with one entry per endogenous equation (#394). - For one latent endogenous series with `lags=1` the stationarity constraint is a truncated own lag instead of a -inf Potential (#395): no boundary divergences, the JAX backend differentiates the model for that case, and the host model is clonable for any own-lag prior mean. Co-Authored-By: Claude Fable 5.1 --- pyproject.toml | 2 +- uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 85a8943..59ebe09 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "impulso" -version = "0.1.3" +version = "0.1.4" description = "Bayesian Vector Autoregression (VAR) in Python." authors = [{ name = "Thomas Pinder", email = "tompinder@live.co.uk" }] readme = "README.md" diff --git a/uv.lock b/uv.lock index 9e14db9..42e0864 100644 --- a/uv.lock +++ b/uv.lock @@ -1188,7 +1188,7 @@ wheels = [ [[package]] name = "impulso" -version = "0.1.3" +version = "0.1.4" source = { editable = "." } dependencies = [ { name = "arviz", version = "0.23.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" },