DeepST: A Deep Learning Toolbox for Spatio-Temporal Data
Tested on Windows Server 2012 R2.
DeepST uses the following dependencies:
- Keras and its dependencies are required to use DeepST.
- Theano or TensorFlow, but Theano is recommended.
- numpy and scipy
- HDF5 and h5py
- pandas
- CUDA 7.5 or latest version. And cuDNN is highly recommended.
To install DeepST, cd to the DeepST folder and run the install command:
python setup.py install
To install the development version:
python setup.py develop
The default DATAPATH variable is DATAPATH=[path_to_DeepST]/data. You may set your DATAPATH variable using
# Windows
set DATAPATH=[path_to_your_data]
# Linux
export DATAPATH=[path_to_your_data]
DeepST is released under the MIT License (refer to the LICENSE file for details).