[Introduction to OpenBayes]。
OpenBayes is an open-source Python library that provides tools for probabilistic programming and Bayesian inference. It allows users to build and execute probabilistic models to make predictions based on data and prior knowledge.
[Usage Tutorial]。
To start using OpenBayes, first install the library using pip:
```。
pip install openbayes。
```。
Then, you can import OpenBayes in your Python code and begin creating probabilistic models. Here's a simple example:
```python。
import openbayes as ob。
Define a probabilistic model。
model = ob.Network()。
Add random variables and dependencies。
model.add(ob.DiscreteVariable('A', ['True', 'False']))。
。