Create a Project

The scripts for this example are available in the Python template project that ships with Cloudera Data Science Workbench.

  1. First, create a new project from the Python template:

  2. Once you've created the project, go to the project's Files page.
    The following files are used for the demo:
    • - A custom build script used for models and experiments. Pip installs our dependencies, primarily the scikit-learn library.

    • - A model training example to be run as an experiment. Generates the model.pkl file that contains the fitted parameters of our model.

    • - A sample function to be deployed as a model. Uses model.pkl produced by to make predictions about petal width.