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Miscellaneous utilities for machine learning.

Project description

This package contains a number of utility modules that are helpful with machine learning tasks. Most of the modules work together with scikit-learn, others are more generally useful.

View the documentation here.

Change History

0.3 - 2013-11-02

  • convnet: Add scikit-learn estimator based on Jia and Donahue’s DeCAF.
  • dbn: Change default args of use_re_lu=True and nesterov=True.

0.2 - 2013-03-03

  • dbn: Add parameters learn_rate_decays and learn_rate_minimums, which allow for decreasing the learning after each epoch of fine-tuning.
  • dbn: Allow -1 as the value of the input and output layers of the neural network. The shapes of X and y will then be used to determine those.
  • dbn: Add support for processing sparse input data matrices.
  • dbn: Improve miserable speed of DBN.predict_proba.

0.2b1 - 2012-12-30

  • Added a scikit-learn estimator based on George Dahl’s gdbn in nolearn.dbn.

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