Deep Lynx Machine Learning (ML) Adapter

Runs machine learning models programmatically as continuous data is received, allowing for data pre-processing, prediction analysis, and anomaly forecasting.
Technology No. CW-21-45
The Deep Lynx Machine Learning (ML) Adapter is a generic adapter that programmatically runs the ML as continuous data is received. Then, Jupyter Notebooks can be customized according to the project for pre-processing the data, building the machine learning models, prediction analysis of incoming data using an existing model, and forecasting anomalies / failures of the physical asset.

This software is open source and available at no cost. Download now by visiting the product's GitHub page.
  • swap_vertical_circlemode_editAuthors (3)
    Katherine Wilsdon
    Ross Kunz
    Jeren Browning
  • swap_vertical_circlecloud_downloadSupporting documents (0)
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