Usage

To use OutlierDenStream in a project:

from outlierdenstream import Sample, OutlierDenStream

Initialize OutlierDenStream object:

ods = OutlierDenStream(lamb=0.03, epsilon='auto', beta=0.03, mu='auto', startingBuffer=bufferDf, tp=12)
ods.runInitialization()

Fit each sample of the dataset with:

for row in dataset:
    sample = Sample(row, timestamp)
    result = ods.runOnNewSample(sample)

The algorithm returns True (outlier) if it is not able to merge the new sample to an existing core-micro-cluster or merges the sample to an existing outlier-micro-cluster. Returns False (normal) otherwise.