This package provides a hyperopt-compatible neural network implementation.
Currently, it can be used to tune neural network hyperparameters for data sets provided as skdata protocols.
See the ./examples subdirectory for sample training scripts (e.g. nips2011_nnet.py)
and a plotting script (plot_trials.py).
The hpnnet.nips2011 file implements the search parameterization used in
Bergstra, Bardenet, Bengio, and Kegl ("Algorithms for Hyper-parameter
Optimization") from NIPS 2011.
- NumPy
- Sklearn
- Theano
- Skdata (github master, not PyPI)
- Hyperopt (github master, not PyPI)
- matplotlib (for plotting)
- IPython (for parallel search, option 1)
- MongoDB (for parallel search, option 2)