Hands-On Automated Machine Learning

Default configuration of auto-sklearn

When you create an AutoSklearnClassifier object, which you will do shortly by the way, there are some default configurations that you need to be aware of; you can see them by running the following code:

from autosklearn.classification import AutoSklearnClassifierAutoSklearnClassifier?

In Python, adding ? after a function will output very useful information, such as the signature, docstring, an explanation of the parameters, the attributes, and the file location.

If you look at the signature, you will see the default values:

Init signature: AutoSklearnClassifier(time_left_for_this_task=3600, per_run_time_limit=360, initial_configurations_via_metalearning=25, ensemble_size=50, ensemble_nbest=50, seed=1, ...