Models for anomaly detection; see e.g. https://arxiv.org/abs/2009.02205
Project description
anomaly_detection_models
Repository with some useful anomaly detection model definitions.
install
clone this repository, and run
pip install . [--user]
with the --user
argument specifying local installation.
usage
import models directly or subclass anomaly_detection_base
to make a new model (instructions in-source)
example
see demos/test.ipynb
for an example. general usage is like sklearn, as
from anomaly_detection_models import SACWoLa
sacwola = SACWoLa(epochs=10, lambda_=1.2)
sacwola.fit(x, y_sim, y_sb)
pred = sacwola.predict(x_test)
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