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
1 maintainer
Release files for steams 0.18
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| steams-0.18.tar.gz | 15.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| steams-0.18-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.9 kB
Release files / steams-0.18.tar.gz
| Download URL | steams-0.18.tar.gz |
|---|---|
| Size | 15.1 kB |
| Tags | Source |
|
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Release files / steams-0.18-py3-none-any.whl
| Download URL | steams-0.18-py3-none-any.whl |
|---|---|
| Size | 16.8 kB |
| Tags | Python 3 |
|
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