PyStan — pystan 3.10.0 documentation - Read the Docs
PyStan¶ Release v3.10.0. PyStan is a Python interface to Stan, a package for Bayesian inference. Stan® is a state-of-the-art platform for statistical modeling and high-performance …
Getting Started — pystan 3.10.0 documentation - Read the Docs
Fitting a model using PyStan takes two steps. First we build the model using stan.build() . posterior = stan . build ( schools_code , data = schools_data , random_seed = 1 )
API Reference — pystan 3.10.0 documentation - Read the Docs
num_chains is a PyStan-specific keyword argument. It indicates the number of independent processes to use when drawing samples. Returns: instance of Fit allowing access to draws. …
Installation — pystan 3.10.0 documentation - Read the Docs
In order to install PyStan from PyPI make sure your system satisfies the requirements: Linux or macOS. x86-64 CPU. C++ compiler: gcc ≥9.0 or clang ≥10.0. Install PyStan with pip. The …
Upgrading to Newer Releases — pystan 3.10.0 documentation
PyStan 3 is a complete rewrite. PyStan runs on Linux and macOS. PyStan 3 makes numerous backwards-incompatible changes. Many of these changes are introduced to harmonize …
stan.model — pystan 3.10.0 documentation - Read the Docs
pystan Navigation. Getting Started; Installation; Upgrading to Newer Releases; API Reference; Plugins; Contributing to PyStan; Frequently Asked Questions
Installation — pystan 3.10.0 documentation
In order to install PyStan from PyPI make sure your system satisfies the requirements: Linux or macOS. x86-64 CPU. C++ compiler: gcc ≥9.0 or clang ≥10.0. Install PyStan with pip. The …
Plugins — pystan 3.10.0 documentation - Read the Docs
This is a guide to installing and creating plugins for PyStan. Installing Plugins¶ In order to use a plugin, you need to install it. Plugins are published on PyPI and can be installed with pip. …
stan.fit — pystan 3.10.0 documentation - Read the Docs
pystan Navigation. Getting Started; Installation; Upgrading to Newer Releases; API Reference; Plugins; Contributing to PyStan; Frequently Asked Questions
Frequently Asked Questions — pystan 3.10.0 documentation
How can I use PyStan with Jupyter Notebook or JupyterLab?¶ Use nest-asyncio . This package is needed because Jupter Notebook blocks the use of certain asyncio functions.