Space-time prediction with sparse and irregular space-time multi-timeserie.
Project description
steams
Space-time prediction with sparse and irregular space-time multi-timeseries.
Models presented in this packages are using an adaptive distance attention mechanism. The weight of the attention are based either on the Ordinary Kriging equation system or the Nadaraya-Watson Kernel.
Install from PyPi
pip install steams
install from source
cd /tmp
git clone https://git.nilu.no/aqdl/steams_pkg.git
cd steams_pkg
pip3 install -e .
Package 'steams' has been tested on python 3.8 and 3.9
Running 'steams' with CUDA (v11.3), requires a manual installation of pytorch:
pip3 install torch==1.11.0+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
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