Metadata-Version: 1.1
Name: nolearn
Version: 0.4
Summary: Miscellaneous utilities for machine learning.
Home-page: https://github.com/dnouri/nolearn
Author: Daniel Nouri
Author-email: daniel.nouri@gmail.com
License: MIT
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 <http://scikit-learn.org/>`_, others are more generally
        useful.
        
        View the `documentation here <http://packages.python.org/nolearn/>`_.
        
        
        Change History
        ==============
        
        0.4 - 2014-01-15
        ----------------
        
        - cache: Use joblib's `numpy_pickle` instead of `cPickle` to persist.
        
        0.3.1 - 2013-11-18
        ------------------
        
        - convnet: Add `center_only` and `classify_direct` options.
        
        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`.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
