Python Machine Learning Cookbook - Second Edition

How to do it...

Let's look at how to work with auto-sklearn:

1. Create a new Python file and import the following packages (the full code is in the ASKLClassifier.py file that's already been provided for you):

import autosklearn.classificationimport sklearn.model_selectionimport sklearn.datasetsimport sklearn.metrics

2. Let's import the digits dataset, as follows:

Input, Target = sklearn.datasets.load_digits()

3. Let's split the dataset, as follows:

XTrain, XTest, YTrain, YTest = sklearn.model_selection.train_test_split(Input, Target, random_state=3)

4. Now, we can build the classifier:

ASKModel = autosklearn.classification.AutoSklearnClassifier()

5. Then, we can train the model:

ASKModel.fit(XTrain, YTrain)

6. Finally, we will use the model ...