Metadata-Version: 2.1
Name: anomaly-detection-framework
Version: 0.0.2
Summary: Anomaly Detection Frameworks allows us to caluculate Anomalities on any Time - Series Data Sets. It has an interdace which easy to manage to train - predict given dataset.
Home-page: https://github.com/caglanakpinar/tsad
Author: Caglan Akpinar
Author-email: cakpinar23@gmail.com
License: UNKNOWN
Keywords: anomaly Time Series Anomaly LSTM Prophet Isolation Forest
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: docker-compose (>=1.25.5)
Requires-Dist: PyYAML

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# tsad

## Installation

