Skip to main content

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.

Metadata

Release files for dia-adfpro 1.6.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dia-adfpro 1.6.7
File Size Uploaded
dia-adfpro-1.6.7.tar.gz 50.6 kB Details

Release files / dia-adfpro-1.6.7.tar.gz

Download URL dia-adfpro-1.6.7.tar.gz
Size 50.6 kB
Tags Source
SHA-256 checksum
How to use checksums
63f5d79ad2f8fe47c3c517855a34758a70d15fb05111d33f8eaffb312c174392
BLAKE2b-256 checksum
How to use checksums
4fc392936c4bce47e3740513e190b864023437efeacd6b90ef78da4f4c321087
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.8.7

Release history Release notifications | RSS feed

This release

1.6.7 This release

1 release file

1.6.5

1 release file

1.6.4

1 release file

1.6.3

1 release file

1.6.2

1 release file

0.0.2

1 release file

0.0.1

1 release file

0.0.0

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page