In the IIoT, for some of the mission-critical equipment, it is necessary to produce models with better accuracy during predictions. For building such models, we need to continuously monitor and train and build models in realtime, or near realtime, based on complexity. In real-time model tuning, we continuously stream the live data for which the models will be continuously trained and monitor the accuracy and other performance parameters.
The machine learning code that can be used to train with the dataset can be stored in a registry and can expose it as an endpoint. So that the code can be scheduled to continuously train up on the latest datasets, generate a new model and persist in a common location. ...
