A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)
Uploaded | Mon Mar 31 01:14:00 2025 |
md5 checksum | fe7cfdfb1dd91f4d381aa4f34624e338 |
arch | x86_64 |
build | py311h06a4308_0 |
depends | joblib, matplotlib-base, numba >=0.51, numpy >=1.19,<2.0a0, python >=3.11,<3.12.0a0, scikit-learn >=0.20.0, scipy >=1.5.1, six |
license | BSD-2-Clause |
license_family | BSD |
md5 | fe7cfdfb1dd91f4d381aa4f34624e338 |
name | pyod |
platform | linux |
sha1 | c776c6f9874cb559b5f3cd774c4429b16c86b9cd |
sha256 | cd24347ae5e5db7a1f76972eddd623d4b52380c8bb1aec1f6229cecd118098dd |
size | 247742 |
subdir | linux-64 |
timestamp | 1686233722811 |
version | 1.0.9 |