About Banpei
Banpei is a Python package of the anomaly detection.
Anomaly detection is a technique used to identify unusual patterns that do not conform to expected behavior.
System
Python 3.x (2.x is not supported)
Installation
Use the command:
$ git clone https://github.com/tsurubee/banpei.git
$ cd banpei
$ pip install .After installation, you can import banpei in Python.
$ python
>>> import banpei
Usage
Example
Singular spectrum transformation(sst)
import banpei
model = banpei.SST(w=50)
results = model.detect(data)The graph below shows the change-point scoring calculated by sst for the periodic data. (The data used is placed as '/tests/test_data/periodic_wave.csv')
Real-time monitoring with Bokeh
Banpei is developed with the goal of constructing the environment of real-time abnormality monitoring. In order to achieve the goal, Banpei has the function corresponded to the streaming data. With the help of Bokeh, which is great visualization library, we can construct the simple monitoring tool.
Here's a simple demonstration movie of change-point detection of the data trends.
The implemented algorithm
Outlier detection
- Hotelling's theory
Change point detection
- Singular spectrum transformation(sst)
License
This project is licensed under the terms of the MIT license, see LICENSE.