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:

Furthermore, OutlierHub supports the following toy datasets:

Half Moons
Nested Circles
Noisy x -> x^3 regression
Uniform Noise
Gaussian Cluster

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={...})

For license please see: https://github.com/fraunhofer-iais/outlierhub/blob/master/LICENSE

Project details

Release history Release notifications | RSS feed

0.0.13

Nov 17, 2021

0.0.12

Nov 17, 2021

0.0.11

Oct 9, 2021

0.0.10

May 10, 2021

0.0.9

May 8, 2021

0.0.8

May 7, 2021

This version

0.0.7

Mar 27, 2021

0.0.6

Mar 27, 2021

0.0.5

Mar 8, 2021

0.0.4

Jan 23, 2021

0.0.3

Jan 23, 2021

0.0.2

Jan 15, 2021

0.0.1

Dec 4, 2020

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