Metadata-Version: 1.0
Name: kenchi
Version: 0.7.1
Summary: A set of python modules for anomaly detection
Home-page: http://kenchi.readthedocs.io
Author: Kon
Author-email: kon.y.ohr.n@gmail.com
License: MIT
Description-Content-Type: UNKNOWN
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        kenchi
        ======
        
        This is a set of python modules for anomaly detection.
        
        Requirements
        ------------
        
        -  Python (>=3.6)
        -  matplotlib (>=2.1.1)
        -  networkx (>=2.0)
        -  numpy (>=1.14.0)
        -  pandas (>=0.22.0)
        -  scikit-learn (>=0.19.1)
        -  scipy (>=1.0.0)
        
        Installation
        ------------
        
        You can install via ``pip``
        
        ::
        
            pip install kenchi
        
        or ``conda``.
        
        ::
        
            conda install -c y_ohr_n kenchi
        
        Usage
        -----
        
        .. code:: python
        
            import matplotlib.pyplot as plt
            from kenchi.datasets import make_blobs
            from kenchi.outlier_detection import SparseStructureLearning
        
            # Generate the training data
            X, _ = make_blobs(centers=1, random_state=1, shuffle=False)
        
            # Fit the model according to the given training data
            det  = SparseStructureLearning(glasso_params={'alpha': 0.2}).fit(X)
        
            # Plot the anomaly score for each training sample
            det.plot_anomaly_score(linestyle='', marker='.')
        
            plt.show()
        
        .. image:: https://raw.githubusercontent.com/Y-oHr-N/kenchi/master/docs/images/plot_anomaly_score.png
            :align: center
            :alt: Anomaly score
        
        License
        -------
        
        The MIT License (MIT)
        
        Copyright (c) 2017 Kon
        
Platform: UNKNOWN
