Installing BaseITS¶

Installation Overview¶

BaseITS is written in Python and supports Python 3.7+. It requires several Python libraries including numpy, pandas, multiprocessing, statsmodels, scit-learn, prophet, seaborn, scipy,and matplotlib, all of which are installed when BaseITS is installed.

Installing BaseITS from Source¶

You can install BaseITS from the Git Repository using SSH. This can be done by installing directly via git or by cloning the repo and installing locally.

$ pip3 install git+ssh://git@github.com/IBM/ITS-analysis-for-model-driven-inference.git

$ git clone git+ssh://git@github.com/IBM/ITS-analysis-for-model-driven-inference.git
$ cd BaseITS
$ pip3 install .

You can also install BaseITS from the Git Repository using HTTPS URLs via the terminal. Note that this requires a personal access token. If you do not have one, follow the instructions for creating a personal access token.

$ pip3 install git+https://token@github.com/IBM/ITS-analysis-for-model-driven-inference.git

Installing BaseITS from Pip¶

BaseITS can also be installed from pip with the following

$ pip3 install model-driven-inference-its

Uninstalling BaseITS¶

You can uninstall BaseITS using the following command.

$ pip3 uninstall model-driven-inference-its

Getting Installation Help¶

For any questions or assistance about installing BaseITS, please send your message to the BaseITS-Help Slack channel.