kenchi 0.7.0

A set of python modules for anomaly detection

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

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()

License

The MIT License (MIT)

Copyright (c) 2017 Kon