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pypi.org : spade-anomaly-detection
Semi-supervised Pseudo Labeler Anomaly Detection with Ensembling (SPADE) is a semi-supervised anomaly detection method that uses an ensemble of one class classifiers as the pseudo-labelers and supervised classifiers to achieve state of the art results especially on datasets with distribution mismatch between labeled and unlabeled samples.
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purl: pkg:pypi/spade-anomaly-detection
Keywords: anomaly detection, ensemble model, one class classifiers, anomaly-detection-algorithm, ensemble-model, one-class-classification, semi-supervised
License: Apache-2.0
Latest release: 18 days ago
First release: 22 days ago
Downloads: 426 last month
Stars: 20 on GitHub
Forks: 1 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 4 days ago