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A Python application for anomaly detection

Project description

MQIT_DIA_ADFPRO

Anomaly Detection for Fast PROcesses (ADFPRO) is a Python application used to implement anomaly detection for "fast" processes that can be described by multiple features.

Fast means processes that are repeated continuously on manufacturing equipments and have a duration of a few seconds.

Repository includes 2 modules:

  1. used from ML frameworks running on the cloud (Domino, SageMaker, AzureML) to trigger model training and classification on datasets having a certain structure;

  2. used to implement Dash dashboards to visualize results

Uses code contained in MQIT_DIA_AIML_Toolkit.

Developed and maintained by MQ-IDS Data Integration and Analytics.

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