Outlierhub, a collection of machine learning datasets.
Project description
OutlierHub
a curated hub for outlier and anomaly datasets built on top of datastack.
Currentyly supported datasets:
- ATIS
- ARRHYTHMIA
- KDD
- REUTERS
- TREC
- MNIST
- Fashion-MNIST
- EMNIST
- Newsgroups
Furthermore, OutlierHub supports the following toy datasets:
- Half Moons
- Nested Circles
- Noisy x -> x^3 regression
- Uniform Noise
- Gaussian Cluster
- Circular Segement
- XOR Squares
Install
pip install outlier-hub
For the latest version, clone or download the repository and cd into OutlierHub's root folder and run
pip install src/
Usage
Each dataset has a factory that can be instantiated with a StorageConnector providing the IO operations.
After factory instantiation, the factory is able to create a dataset iterator when calling its member method get_dataset_iterator(config={...})
Copyright 2020 Fraunhofer IAIS
For license please see: https://github.com/fraunhofer-iais/outlierhub/blob/master/LICENSE
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