Tutorial

Data Science Service

SuperMap iManager supports to ‘one-click’ creating Data Science Service. SuperMap iServer Data Science Service provides online Python development environment for data scientist and data analyst, it is allow to create, run, and monitor Python scripts online, to do distributed analysis and machine learning based on spatial data. SuperMap iObject Python is the core of the service, it provides Python open source analysis and machine learning library, such as numpy, opencv, proj4, and tensorflow. Combines with the geographic data resources in iServer, users can focus on solving data analyst.

For monitoring and managing, users can understand the associations between the services by topological diagram, check the account of the site, monitoring the service trace and service metrics, add services, allocate the resources for the site, search the services by keyworkds, and check the running pods in the site; users can also redeploy the services, adjust the specs of service, modify the images of service, manual/automatic scaling the services, edit the YAML file of services, view the log of the services, and control the command pad of containers.

The services in the Data Science Service environment:

• hub: Data Science Service.
• proxy: Data Science Service proxy.