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如何使Python可视化即服务| 与网站整合| 特别是圣人

[英]How to make a Python Visualization as service | Integrate with website | specially sagemaker

I am from R background where we can use Plumber kind tool which provide visualization/graph as Image via end points so we can integrate in our Java application. 我来自R背景,我们可以使用Plumber类工具通过端点提供可视化/图形作为图像,以便我们可以将其集成到Java应用程序中。

Now I want to integrate my Python/Juypter visualization graph with my Java application but not sure how to host it and make it as endpoint. 现在,我想将Python / Juypter可视化图与Java应用程序集成在一起,但不确定如何托管它并使其成为端点。 Right now I using AWS sagemaker to host Juypter notebook 现在我使用AWS sagemaker来托管Juypter笔记本

Amazon SageMaker is a set of different services for data scientists. Amazon SageMaker为数据科学家提供了一套不同的服务。 You are using the notebook service that is used for developing ML models in an interactive way. 您正在使用笔记本服务,该服务用于以交互方式开发ML模型。 The hosting service in SageMaker is creating an endpoint based on a trained model. SageMaker中的托管服务正在基于经过训练的模型创建端点。 You can call this endpoint with invoke-endpoint API call for real time inference. 您可以使用invoke-endpoint API调用来调用此端点,以进行实时推断。

It seems that you are looking for a different type of hosting that is more suitable for serving HTML media rich pages, and doesn't fit into the hosting model of SageMaker. 似乎您正在寻找另一种类型的托管,该托管更适合于提供HTML媒体丰富页面,并且不适合SageMaker的托管模型。 A combination of EC2 instances, with pre-built AMI or installation scripts, Congnito for authentication, S3 and EBS for object and block storage, and similar building blocks should give you a scalable and cost effective solution. EC2实例与预构建的AMI或安装脚本,用于身份验证的Congnito,用于对象和块存储的S3和EBS以及类似的构建块的结合,应该为您提供可扩展且经济高效的解决方案。

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