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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

TPOT

Tree-Based Pipeline Optimization Tool (TPOT) is using genetic programming to find the best performing ML pipelines, and it is built on top of scikit-learn.

Once your dataset is cleaned and ready to be used, TPOT will help you with the following steps of your ML pipeline:

  • Feature preprocessing
  • Feature construction and selection
  • Model selection
  • Hyperparameter optimization

Once TPOT is done with its experimentation, it will provide you with the best performing pipeline.

TPOT is very user-friendly as it's similar to using scikit-learn's API:

from tpot import TPOTClassifierfrom sklearn.datasets import load_digitsfrom sklearn.model_selection import train_test_split# Digits dataset that you have used in Auto-sklearn exampledigits = load_digits() ...
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Publisher Resources

ISBN: 9781788629898Supplemental Content