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  3. Hyperparameter Tuning in Python

Exercise

Iteratively tune multiple hyperparameters

In this exercise, you will build on the function you previously created to take in 2 hyperparameters, build a model and return the results. You will now use that to loop through some values and then extend this function and loop with another hyperparameter.

The function gbm_grid_search(learn_rate, max_depth) is available in this exercise.

If you need to remind yourself of the function you can run the function print_func() that has been created for you

Instructions 1/3

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  • Write a for-loop to test the values (0.01, 0.1, 0.5) for the learning_rate and (2, 4, 6) for the max_depth using the function you created gbm_grid_search and print the results.