Spade-anomaly-detection

Description

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.

Resources

• PyPi

• 0.3.3
• 0.3.2
• 0.3.1
• 0.3.0
• 0.2.2
• 0.2.1
• 0.2.0
• 0.1.0