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: 8 months ago
First release: over 1 year ago
Downloads: 64 last month
Stars: 45 on GitHub
Forks: 4 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: about 1 month ago