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anomaly-detection-framework

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0.0.20 anomaly_detection_framework-0.0.20-py3-none-any.whl

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Project: anomaly-detection-framework
Version: 0.0.20
Filename: anomaly_detection_framework-0.0.20-py3-none-any.whl
Download: [link]
Size: 144416
MD5: 3852575fac0fc36e70ad3e753c5cfe03
SHA256: ee427b32f2c79746a8d5732bef385b0cce1efd999737c2fd52479bd82689f513
Uploaded: 2020-07-17 18:18:27 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: anomaly-detection-framework
Version: 0.0.20
Summary: Anomaly Detection Framework allows us to calculate Anomalities on any Time - Series Data Sets. It has an interface which is easy to manage to train - predict with given dataset.
Author: Caglan Akpinar
Author-Email: cakpinar23[at]gmail.com
Home-Page: https://github.com/caglanakpinar/tsad
Keywords: anomaly Time Series Anomaly LSTM Prophet Isolation Forest
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: requests
Requires-Dist: docker-compose (>=1.25.5)
Requires-Dist: numpy (>=1.18.1)
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Requires-Dist: convertdate
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Requires-Dist: pystan
Requires-Dist: fbprophet (==0.6)
Requires-Dist: Keras (>=2.3.1)
Description-Content-Type: text/markdown
[Description omitted; length: 14139 characters]

WHEEL

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top_level.txt

anomaly_detection
anomaly_detection/web