Creating an MLproject for the ML Lifecycle: Model Engineering

The MLproject file can include more than one entry point. This means that you can use a single MLproject file to execute multiple entry points, making it possible to execute a workflow of multiple steps using a single MLproject file.

In this exercise you are going to build the beginning of an MLproject file that contains the model_engineering entry point. This entry point will execute a python script that accepts parameters used as hyperparameter values for fit_intercept and n_jobs to a Logistic Regression model. This model is used to predict sex of person from an insurance claim.

Create an entry point for the Model Engineering step of the ML lifecycle called model_engineering.
Set the first entry point parameter to n_jobs and and second to fit_intercept.
Place the parameters within the command.

Exercise

Creating an MLproject for the ML Lifecycle: Model Engineering

Instructions