{"library":"pytensor-distributions","title":"PyTensor Distributions","description":"PyTensor-powered probability distributions for probabilistic programming and Bayesian inference. Version 0.1.3, released 2025, maintenance level with monthly patches.","language":"python","status":"active","last_verified":"Fri May 01","install":{"commands":["pip install pytensor-distributions"],"cli":null},"imports":["from pytensor_distributions.distributions import Normal","from pytensor_distributions import distributions"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"import pytensor\nimport pytensor.tensor as pt\nfrom pytensor_distributions.distributions import Normal\n\nx = pt.dmatrix('x')\nmu = pt.dvector('mu')\nsigma = pt.dscalar('sigma')\ndist = Normal.dist(mu, sigma)\nlogp = dist.log_prob(x)\n\n# Evaluate\nf = pytensor.function([x, mu, sigma], logp)\nprint(f([[1.0, 2.0], [3.0, 4.0]], [0.0, 1.0], 0.5))","lang":"python","description":"Define a Normal distribution and compute log-probability.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}