From 366bbb4508cc6923ffb986613e53daac77710369 Mon Sep 17 00:00:00 2001 From: CodeLionX Date: Fri, 17 Nov 2023 15:39:22 +0100 Subject: [PATCH] feat: change all repository links to new GitHub organization --- README.md | 8 ++++---- doc/advanced-features.md | 9 ++++----- doc/introduction/index.md | 7 ++----- setup.py | 2 +- 4 files changed, 11 insertions(+), 15 deletions(-) diff --git a/README.md b/README.md index bb027c5..e4637a8 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,11 @@
- TimeEval logo + TimeEval logo

A good Timeseries Anomaly Generator.

-[![CI](https://github.com/HPI-Information-Systems/gutentag/actions/workflows/build.yml/badge.svg)](https://github.com/HPI-Information-Systems/gutentag/actions/workflows/build.yml) -[![codecov](https://codecov.io/gh/HPI-Information-Systems/gutentag/branch/main/graph/badge.svg?token=6QXOCY4TS2)](https://codecov.io/gh/HPI-Information-Systems/gutentag) +[![CI](https://github.com/TimeEval/gutentag/actions/workflows/build.yml/badge.svg)](https://github.com/TimeEval/gutentag/actions/workflows/build.yml) +[![codecov](https://codecov.io/gh/TimeEval/gutentag/branch/main/graph/badge.svg?token=6QXOCY4TS2)](https://codecov.io/gh/TimeEval/gutentag) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![PyPI package](https://badge.fury.io/py/timeeval-gutenTAG.svg)](https://badge.fury.io/py/timeeval-gutenTAG) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) @@ -67,7 +67,7 @@ A GutenTAG time series consists of a single (univariate) or multiple (multivaria You should see the following time series: - ![Example unsupervised time series with two anomalies](https://github.com/HPI-Information-Systems/gutentag/raw/main/example-ts.png) + ![Example unsupervised time series with two anomalies](https://github.com/TimeEval/gutentag/raw/main/example-ts.png) ## Documentation diff --git a/doc/advanced-features.md b/doc/advanced-features.md index bf81894..e56637e 100644 --- a/doc/advanced-features.md +++ b/doc/advanced-features.md @@ -33,12 +33,11 @@ class BaseAddOn: ### Implemented Add-Ons -GutenTAG already comes with an add-on for the TimeEval [^1] [^2] tool. This add-on creates a `datasets.csv` meta-file in the output directory. This file is necessary to import the generated datasets into the TimeEval tool. Use it as follows: +GutenTAG already comes with an add-on for the [TimeEval](https://github.com/TimeEval/timeeval) tool. +This add-on creates a `datasets.csv` meta-file in the output directory. +This file is necessary to import the generated datasets into the TimeEval tool. +Use it as follows: ```shell python -m gutenTAG --config-yaml config.yaml --addons gutenTAG.addons.timeeval.TimeEvalAddOn ``` - -[^1]: HPI Gitlab: https://gitlab.hpi.de/akita/bp2020fn1/timeeval/ - -[^2]: HPI Github: https://github.com/HPI-Information-Systems/timeeval diff --git a/doc/introduction/index.md b/doc/introduction/index.md index b52e516..ab67fe5 100644 --- a/doc/introduction/index.md +++ b/doc/introduction/index.md @@ -18,12 +18,9 @@ You can install GutenTAG from the official Python Package Index or from source. - Installation from source: ```bash - # clone GutenTAG repository from gitlab or extract the archive - git clone git@gitlab.hpi.de:akita/guten-tag.git #or unzip guten-tag.zip - # or for github: - git clone git@github.com:HPI-Information-Systems/gutentag.git + git clone git@github.com:TimeEval/GutenTAG.git - cd guten-tag + cd GutenTAG # (optionally) create a new conda environment with Python 3 conda create -n gutentag python=3.8 diff --git a/setup.py b/setup.py index 4caeb2f..04f47c7 100644 --- a/setup.py +++ b/setup.py @@ -113,7 +113,7 @@ def run(self): long_description_content_type="text/markdown", author="Phillip Wenig and Sebastian Schmidl", author_email="phillip.wenig@hpi.de", - url="https://github.com/HPI-Information-Systems/gutentag", + url="https://github.com/TimeEval/gutentag", license="MIT", classifiers=[ "License :: OSI Approved :: MIT License",