search

kaiwaehner / kafka-streams-machine-learning-examples

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
Apache License 2.0
847 stars 305 forks source link

visualization- prediction output #2

Open andrewcz opened 7 years ago

andrewcz commented 7 years ago

hi. great software build :)! Would there be an easy way to attach visualization to the prediction output? Many thanks, Best, Andrew

kaiwaehner commented 7 years ago

Hi Andrew,

that's a good point. A nice UI always helps to present this. It is pretty easy. You could use Kafka Connect to send the prediction to a UI like Kibana or Granana. Or you can use a Kafka Consumer API to integrate it with any existing UI application.

I plan build a nice demo around Kafka + Machine Learning + Real Time Dashboard, too. I will probably leverage KSQL here. It allows to build continuous queries easily. These can send be pushed to a dashboard.