Rest-API

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  • LinearRegression() predicted an RSSI based on measurements for ITS-G5 in 5.9GHz (WLANp)

Deploy your Machine Learning Model as REST-API in Less than 1 hour with Scikit-Learn and Docker

While working on our research project CartoX², we had to deploy a Machine Learning model for prediction of the received signal strength with V-2-X communication ITS-G5 (German name: WLANp). We will use a very simple and easy to understand linear prediction model and serve an API via a Docker container. Up in running in less than 1 hour!

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By |11/2017|Categories: Allgemein|Tags: , , , , , , |0 Comments
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