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Apache-2.0

Prophecis 一站式机器学习平台

Prophecis 是微众银行自研的一站式机器学习平台,集成多种开源机器学习框架,具备机器学习计算集群的多租户管理能力,提供生产环境全栈化容器部署与管理服务。

Architecture

  • 整体架构

    Prophecis

    图1 Prophecis整体架构

    Prophecis主要包含5个关键服务:

    • Prophecis Machine Learning Flow:机器学习分布式建模工具,具备单机和分布式模式模型训练能力,支持Tensorflow、Pytorch、xgboost等多种机器学习框架,支持从机器学习建模到部署的完整Pipeline;

    • Prophecis MLLabis:机器学习开发探索工具,提供开发探索服务,是一款基于Jupyter Lab的在线IDE,同时支持GPU及Hadoop集群的机器学习建模任务,支持Python、R、Julia多种语言,集成Debug、TensorBoard多种插件;

    • Prophecis Model Factory:机器学习模型工厂,提供机器学习模型存储、模型部署测试、模型管理等服务;

    • Prophecis Data Factory:机器学习数据工厂,提供特征工程工具、数据标注工具和物料管理等服务;

    • Prophecis Application Factory:机器学习应用工厂,由微众银行大数据平台团队和AI部门联合共建,基于青云(QingCloud)开源的Kubesphere定制开发,提供CI/CD和DevOps工具,GPU集群的监控及告警能力。

  • 功能特色

    Prophecis功能特色

    图2 Prophecis功能特色

  • 全生命周期的机器学习体验:Prophecis的 MLFlow 通过 AppJoint 可以接入到 DataSphere Stdudio 的工作流中,支持从数据上传、数据预处理、特征工程、模型训练、模型评估到模型发布的机器学习全流程;

    DSS-Prophecis

    图3 Prophecis对接DSS功能展示

  • 一键式的模型部署服务:Prophecis MF 支持将Prophecis Machine Learning Flow、Prophecis MLLabis 生成的训练模型一键式发布为 Restful API 或者 RPC 接口,实现模型到业务的无缝衔接;

  • 机器学习应用部署、运维、实验的综合管理平台:基于社区开源方案定制,提供完整的、可靠的、高度灵活的企业级机器学习应用发布、监控、服务治理、日志收集和查询等管理工具,全方位实现对机器学习应用的管控,满足企业对于机器学习应用在线上生产环境的所有工作要求。

Quick Start Guide

Developing

Roadmap

  • 关于Prophecis后续的Roadmap,可查看 Roadmap 文档,欢迎大家持续关注!

Contributing

非常欢迎广大的社区伙伴给我们贡献新代码!

Communication

如果您想得到最快的响应,请给我们提issue,或者您也可以扫码进群:

Communication

License

Prophecis is under the Apache 2.0 license. See the LICENSE file for details.

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简介

Prophecis 是微众银行自研的一站式机器学习平台,集成多种开源机器学习框架,具备机器学习计算集群的多租户管理能力,提供生产环境全栈化容器部署与管理服务。 展开 收起
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