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
Description: [Github-flavored Markdown](https://guides.github.com/features/mastering-markdown/)
        # tsad
        
        ## Installation
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
