pneff93/Kafka-R-Realtime-Prediction
This tutorial explains how a machine learning model is applied on real-time data
This project helps operations engineers or quality control managers continuously predict the characteristics of incoming materials or products, like a fish's weight based on its size. It takes live sensor measurements and outputs real-time predictions, automatically adjusting the prediction model if accuracy drops. This ensures that the predictions remain reliable over time, even as conditions change.
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Use this if you need to make real-time predictions on streaming data and want the prediction model to automatically retrain itself when its accuracy declines.
Not ideal if your data is static or batched, or if you prefer to manually manage model retraining and deployment.
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Kotlin
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Last pushed
Jan 06, 2022
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