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Monetizing Machine Learning pp 129–166Cite as

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Pretrained Intelligence with Gradient Boosting Machine on AWS

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Notes

  1. 1.

    http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html

  2. 2.

    P. Cortez, A. Cerdeira, F. Almeida, T. Matos, and J. Reis, “Modeling Wine Preferences by Data Mining from Physicochemical Properties,” Decision Support Systems 47, no. 4 (2009): 547-553.

  3. 3.

    https://archive.ics.uci.edu/ml/index.php

  4. 4.

    https://aws.amazon.com/elasticbeanstalk/

  5. 5.

    https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality.names

  6. 6.

    http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html

  7. 7.

    http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html

  8. 8.

    http://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_score.html

  9. 9.

    http://scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html

  10. 10.

    https://wiki.python.org/moin/UsingPickle

  11. 11.

    http://scikit-learn.org/stable/modules/model_persistence.html

  12. 12.

    https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/python-configuration-requirements.html

  13. 13.

    https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/command-reference-get-started.html

  14. 14.

    https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/eb3-init.html

  15. 15.

    http://modwsgi.readthedocs.io/en/develop/user-guides/application-issues.html#python-simplified-gil-state-api

  16. 16.

    https://stackoverflow.com/questions/41812497/aws-elastic-beanstalk-script-timed-out-before-returning-headers-application-p

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Authors and Affiliations

  1. Portland, Oregon, USA

    Manuel Amunategui

  2. Platteville, Wisconsin, USA

    Mehdi Roopaei

Authors
  1. Manuel Amunategui
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  2. Mehdi Roopaei
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© 2018 Manuel Amunategui, Mehdi Roopaei

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Amunategui, M., Roopaei, M. (2018). Pretrained Intelligence with Gradient Boosting Machine on AWS. In: Monetizing Machine Learning. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3873-8_4

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