Scoring#
A Scoring anomaly detector is one that assigns anomaly scores to unknown samples in a dataset. The interface provides the score()
method which returns a set of scores from the model. Higher scores indicate a greater degree of anomalousness. In addition, samples can be sorted by their anomaly score to identify the top outliers.
Score a Dataset#
Return the anomaly scores assigned to the samples in a dataset:
public score(Dataset $dataset) : array
$scores = $estimator->score($dataset);
print_r($scores);
Array
(
[0] => 0.35033
[1] => 0.40992
[2] => 1.68153
)
Last update:
2021-06-05