skchange 0.6.0

Sktime-compatible change and anomaly detection

skchange

skchange provies sktime-compatible change detection and changepoint-based anomaly detection algorithms. Methods implement the annotator interface of sktime.

A playground for now.

Installation

pip install skchange

Requires Python >= 3.9, < 3.13.

Quickstart

Changepoint detection / time series segmentation

from skchange.change_detectors.moscore import Moscore
from skchange.datasets.generate import generate_teeth_data

df = generate_teeth_data(n_segments=10, segment_length=50, mean=5, random_state=1)
detector = Moscore(bandwidth=10)
detector.fit_predict(df)
>>>
0     49
1     99
2    149
3    199
4    249
5    299
6    349
7    399
8    449
Name: changepoint, dtype: int64

Multivariate anomaly detection

from skchange.anomaly_detectors.mvcapa import Mvcapa
from skchange.datasets.generate import generate_teeth_data

df = generate_teeth_data(
    n_segments=5,
    segment_length=50,
    p=10,
    mean=10,
    affected_proportion=0.2,
    random_state=2,
)
detector = Mvcapa(collective_penalty="sparse")
detector.fit_predict(df)
>>>
  anomaly_interval anomaly_columns
0         [50, 99]          [0, 1]
1       [150, 199]          [0, 1]

License

skchange is a free and open-source software licensed under the BSD 3-clause license.