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Author:
Kyle T. Jones
Summary:
Anomaly detection workflows that turn time series signals into actionable decisions
Latest version:
0.0.4
Required dependencies:
numpy
|
pandas
|
scikit-learn
|
timesmith
Optional dependencies:
anomsmith
|
boto3
|
coral-pytorch
|
hypothesis
|
lifelines
|
lightgbm
|
mord
|
mypy
|
networkx
|
plotsmith
|
pycox
|
pytest
|
pytest-cov
|
pywavelets
|
ruff
|
scipy
|
statsmodels
|
tensorflow
|
torch
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