sgGWR
Installation
We recommend installing JAX package for efficient computation. To install sgGWR with JAX, please execute the following on your terminal.
pip install sgGWR[jax]
If you cannot install JAX (e.g., Windows users), you can omit [jax] option.
pip install sgGWR
Reference
Please cite the following article:
- Nishi, H., & Asami, Y. (2024). Stochastic gradient geographical weighted regression (sgGWR): Scalable bandwidth optimization for geographically weighted regression. International Journal of Geographical Information Science, 38(2), 354–380. https://doi.org/10.1080/13658816.2023.2285471
1 maintainer
Metadata
1 maintainer
Release files for sgGWR 0.1.5
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sggwr-0.1.5-py3-none-any.whl | Python 3 | none | any | Details for sggwr-0.1.5-py3-none-any.whl |
Release files / sggwr-0.1.5-py3-none-any.whl
| Download URL | sggwr-0.1.5-py3-none-any.whl |
|---|---|
| Size | 26.6 kB |
| Tags | Python 3 |
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No |
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twine/5.1.0 CPython/3.11.4
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Security for sgGWR 0.1.5
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