Automate Hyperparameter Tuning for your models

Now, we create the search space for hyperparameters for our classifier. To do this, we end up using many of hyperopt built-in functions which define various distributions. As you can see in the code below, we use uniform distribution between 0.7 and 1 for our subsample hyperparameter. We also give a label for the subsample parameterx_subsample. You need to provide different labels for each hyperparam you define.