Metadata-Version: 2.1
Name: anomaly_detection_models
Version: 0.1
Summary: Models for anomaly detection; see e.g. https://arxiv.org/abs/2009.02205
Home-page: https://github.com/luclepot/anomaly_detection_models
Author: Luc Le Pottier
Author-email: luclepot@umich.edu
License: UNKNOWN
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`](/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)
        ```
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
