ML framework for Timeseries Anomaly Application

Description

The framework is developed to extract dataset from source (SQL), train models and deploy to provide notifcation in case there is anomaly in the live data and provide dashboard.

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Name		Name	Last commit message	Last commit date
Latest commit History 28 Commits
anomalies		anomalies
connectors		connectors
docs		docs
html_dir		html_dir
images		images
logs		logs
src		src
tests		tests
.DS_Store		.DS_Store
.coveragerc		.coveragerc
.gitignore		.gitignore
AUTHORS.rst		AUTHORS.rst
CHANGELOG.rst		CHANGELOG.rst
LICENSE.txt		LICENSE.txt
README.md		README.md
requirements.txt		requirements.txt
setup.cfg		setup.cfg
setup.py		setup.py

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