RxInferServer – 通过Julia从Python进行远程贝叶斯推断
我们刚刚发布了RxInferServer的Python SDK，使得Python开发者能够使用托管在RxInferServer上的模型进行远程贝叶斯推断。
<p>什么是RxInfer？
https://reactivebayes.github.io/RxInfer.jl
<p>RxInfer.jl是一个为反应式消息传递和概率编程设计的Julia包。它支持在复杂模型中进行实时贝叶斯推断，支持精确推断和变分推断算法。
<p>主要特点：
- 远程模型执行：可以直接从Python调用托管在RxInferServer上的RxInfer模型。
- OpenAPI规范：RxInferServer提供OpenAPI接口，便于无缝集成和客户端生成。
- Julia互操作性：经过少量修改，RxInferServer可以执行任意Julia代码，而不仅限于RxInfer模型。
<p>示例笔记本：状态空间模型示例
https://lazydynamics.github.io/RxInferClient.py/examples/state-space-model/
<p>服务器文档
https://server.rxinfer.com
<p>Python SDK代码库
https://github.com/lazydynamics/RxInferClient.py
<p>我们欢迎开发者社区的反馈，特别是那些对将贝叶斯推断集成到Python工作流程或探索跨语言模型执行感兴趣的开发者。
查看原文
We’ve just released a Python SDK for RxInferServer, enabling Python developers to perform remote Bayesian inference using models hosted on RxInferServer.<p>What is RxInfer?
https://reactivebayes.github.io/RxInfer.jl/<p>RxInfer.jl is a Julia package designed for reactive message passing and probabilistic programming. It facilitates real-time Bayesian inference in complex models, supporting both exact and variational inference algorithms.<p>Key Features:
- Remote Model Execution: Call RxInfer models hosted on RxInferServer directly from Python.
- OpenAPI Specification: RxInferServer exposes an OpenAPI interface, allowing for seamless integration and client generation.
- Julia Interoperability: With minor modifications, RxInferServer can execute arbitrary Julia code, not limited to RxInfer models.<p>Example Notebook: State-Space Model Example
https://lazydynamics.github.io/RxInferClient.py/examples/state-space-model/<p>Server Documentation
https://server.rxinfer.com<p>Python SDK Repository
https://github.com/lazydynamics/RxInferClient.py<p>We welcome feedback from the developer community, especially those interested in integrating Bayesian inference into Python workflows or exploring cross-language model execution.