RecSys

Overview

This is your new Kedro project with Kedro-Viz setup, which was generated using kedro 0.19.10.

Take a look at the Kedro documentation to get started.

Rules and guidelines

In order to get the best out of the template:

• Don't remove any lines from the .gitignore file we provide
• Make sure your results can be reproduced by following a data engineering convention
• Don't commit data to your repository
• Don't commit any credentials or your local configuration to your repository. Keep all your credentials and local configuration in conf/local/

How to install dependencies

Declare any dependencies in requirements.txt for pip installation.

To install them, run:

pip install -r requirements.txt

Initial configurations

If you want to make further changes to the source code, install the develpoment dependencies by first running:

pip install -e ."[dev]"

Install ruff VSCode extension

If you use VSCode as your code editor, install the ruff extension

Install nbstripout

To automatically strip out all output cell contents before committing to git, install nbstripout with the following command:

nbstripout --install

This will run nbstripout before anything is committed to git.

Note: Your output cells will be retained locally.

Install pre-commit hook scripts¶

pre-commit is a framework for managing and maintaining multi-language pre-commit hooks. The hooks are configured in .pre-commit-config.yaml file. In order to enable them, run:

pre-commit install

How to run your Kedro pipeline

You can run your Kedro project with:

kedro run

How to test your Kedro project

Have a look at the files src/tests/test_run.py and src/tests/pipelines/data_science/test_pipeline.py for instructions on how to write your tests. Run the tests as follows:

pytest

To configure the coverage threshold, look at the .coveragerc file.

Project dependencies

To see and update the dependency requirements for your project use requirements.txt. Install the project requirements with pip install -r requirements.txt.

Further information about project dependencies

How to work with Kedro and notebooks

Note: Using kedro jupyter or kedro ipython to run your notebook provides these variables in scope: catalog, context, pipelines and session.

Jupyter, JupyterLab, and IPython are already included in the project requirements by default, so once you have run pip install -r requirements.txt you will not need to take any extra steps before you use them.

Jupyter

To use Jupyter notebooks in your Kedro project, you need to install Jupyter:

pip install jupyter

After installing Jupyter, you can start a local notebook server:

kedro jupyter notebook

JupyterLab

To use JupyterLab, you need to install it:

pip install jupyterlab

You can also start JupyterLab:

kedro jupyter lab

IPython

And if you want to run an IPython session:

kedro ipython

Further information about using notebooks for experiments within Kedro projects.

Package your Kedro project

Further information about building project documentation and packaging your project.