steveli / gp-adapter

Scalable GP Adapter for Time Series Classification

Scalable GP Adapter for Time Series Classification

Implementation of the paper "A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification".

Requirements

• Python 2.7
• Numpy
• Scipy
• Theano
• Lasagne
• Cython: run the command python setup.py build_ext --inplace to compile Cython modules.

Examples

Train GP adapter with a convolutional net for 100 epochs on the sparsified uWave data:

python gpnet_fast.py -f data/UWaveGestureLibraryAll-1.pkl -e 100 -n cnn

Run python gpnet_fast.py -h to learn the command line options.