Factual package intelligence from PyPI

spade-anomaly-detection 0.4.0 package intelligence

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 supervi

pip install spade-anomaly-detection

Current version
0.4.0
Python requirement
>=3.8
License
Apache Software License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
14.7 MiB
Release history
9 releases with files
Median release cadence
7 days

spade-anomaly-detection dependencies

PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. absl-py ==1.4.0
  2. frozendict ==2.3.2
  3. joblib ==1.2.0
  4. pandas ==2.2.2
  5. pyarrow ==14.0.1
  6. retry ==0.9.2
  7. scikit-learn ==1.4.2
  8. tensorflow ==2.12.1
  9. tensorflow-datasets ==4.9.6
  10. parameterized ==0.8.1
  11. pytest ==7.1.2
  12. fastavro ==1.4.12

The compact report shows 12 of 21 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

spade-anomaly-detection publishes 1 wheel and 1 source archive for version 0.4.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 9 releases with files. The first dated release is ; 9 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .