For advanced Data Scientists with experience in Python, Lumiata has enabled Jupyter Notebooks for freedom and flexibility in building models.
- From the Dashboard, click on Lightning AI Model Builder.
- From there, click on Launch under JupyterHub.
- This will launch into a JupyterHub where you can access pre-configured notebooks or access a new notebook.
To access pre-configured notebooks, click on notebooks in the home page of JupyterHub. Here, you'll see three notebooks that Lumiata has pre-configured:
- Exploratory Data Analysis
- Feature Creation
- Model Creation
Click on the notebook name to access the notebook and explore the information inside. We recommend that if you want to play around with these pre-configured notebooks, you first make a copy of the notebook by going to File > Make a Copy.
You can also launch a brand new notebook by clicking on New in the top right corner to access a notebook of your preference.
Once you launch a new notebook, you can import any library you would like, whether it's a Lumiata library or a 3rd party library.
Learn how to conduct your initial data analysis in a Jupyter Notebook in the following video:
Learn how to train your own model in a Jupyter Notebook in the following video:
Updated about 2 months ago