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);

var_dump($scores);

array(3) {
  [0]=> float(0.35033859096744)
  [1]=> float(0.40992076925443)
  [2]=> float(1.68163357834096)
}

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Last update: 2020-12-26