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Hands-On Automated Machine Learning
book

Hands-On Automated Machine Learning

by Sibanjan Das, Umit Mert Cakmak
April 2018
Beginner to intermediate content levelBeginner to intermediate
282 pages
6h 52m
English
Packt Publishing
Content preview from Hands-On Automated Machine Learning

Auto-sklearn

Scikit-learn has a great API for developing ML models and pipelines. Scikit-learn's API is very consistent and mature; if you are used to working with it, auto-sklearn (http://automl.github.io/auto-sklearn/stable/) will be just as easy to use since it's really a drop-in replacement for scikit-learn estimators.

Let's see a little example: 

# Necessary importsimport autosklearn.classificationimport sklearn.model_selectionimport sklearn.datasetsimport sklearn.metricsfrom sklearn.model_selection import train_test_split# Digits dataset is one of the most popular datasets in machine learning community.# Every example in this datasets represents a 8x8 image of a digit.X, y = sklearn.datasets.load_digits(return_X_y=True)# Let's see the ...
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Publisher Resources

ISBN: 9781788629898Supplemental Content