- Version 1.2
- By Mphasis
This solution utilizes an Autoencoder model to learn and understand the data distribution which can fill in missing values once trained. Its objective is to classify the events based on the patterns and observations collected for data from multiple sensors. In production, the solution can handle...
Algorithm - Fulfilled on Amazon SageMaker