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Published June 23, 2016 | Version 0.4
Software Open

tpot: Major upgrade

Creators

  • 1. University of Pennsylvania
  • 2. Knowledge Lab
  • 3. Michigan State University
  • 4. Commonwealth Bank
  • 5. InsightSquared

Description

In TPOT 0.4, we've made some major changes to the internals of TPOT. We've summarized the changes below.

  • Added new sklearn models and preprocessors
    • AdaBoostClassifier
    • BernoulliNB
    • ExtraTreesClassifier
    • GaussianNB
    • MultinomialNB
    • LinearSVC
    • PassiveAggressiveClassifier
    • GradientBoostingClassifier
    • RBFSampler
    • FastICA
    • FeatureAgglomeration
    • Nystroem
  • Added operator that inserts virtual features for the count of features with values of zero
  • Removed XGBoost as a dependency
    • Too many users were having install issues with XGBoost
    • Replaced with scikit-learn's GradientBoostingClassifier
  • Improved descriptiveness of TPOT command line parameter documentation
  • Removed min/max/avg details during fit() when verbosity > 1
    • Replaced with tqdm progress bar
  • Added tqdm as a dependency
  • Added fit_predict() convenience function
  • Added get_params() function so TPOT can operate in scikit-learn's cross_val_score

Files

tpot-0.4.zip

Files (1.2 MB)

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md5:6e0e62eb843ffaf35542a2dc821e8178
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Additional details

Related works

Is supplement to
https://github.com/rhiever/tpot/tree/0.4 (URL)