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Getting Started with Anovos 🚀

Anovos provides data scientists and ML engineers with powerful and versatile tools for feature engineering.

To get you started quickly, we have prepared an interactive Getting Started Guide. All you need is Docker (see here for instructions how to install it on your machine).

Once you've finished the guide, the best way to explore what Anovos has to offer is through the provided examples that are included in the anovos-examples Docker image as well.

To launch an anovos-examples Docker container that contains both the guide and the examples, execute the following command:

docker run -p 8888:8888 anovos/anovos-examples-3.2.2:latest

⚠️ Please be aware that this will download several GB of data from Docker Hub.

💡 Depending on your Docker setup, you might encounter an error message Couldn't connect to Docker daemon at .... Quite often, this means that your user account lacks permission to access it, and you need to prefix the call to Docker with sudo, i.e., execute sudo docker run -p 8888:8888 anovos/anovos-examples-3.2.2:latest.

The numbers in the image's name specify the Spark version. To see all available image versions, head over to our Docker Hub profile.

To reach the Jupyter environment, open the link to generated by the Jupyter NotebookApp.

If you're not familiar with Anovos or feature engineering, the Getting Started with Anovos guide is a good place to begin your journey. You can find it in the /guides folder within the Jupyter environment.

For more detailed instructions on how to install Docker and how to troubleshoot potential issues, see the examples README.