name: 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.
license_spdx: Apache-2.0
version: 0.2.2
spec_version: 1.0
home_url: https://github.com/google-research/spade_anomaly_detection
news_url: https://libraries.io/pypi/spade-anomaly-detection/versions.atom
date: 2024-05-20
about_resource: NONE
libraries_io_url: https://libraries.io/pypi/spade-anomaly-detection?number=0.2.2
vcs_tool: git
vcs_repository: https://github.com/google-research/spade_anomaly_detection
vcs_branch: main
