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# Dimension Smoother
Kalman based smoother, smoothing data across different dimensions.
## Install
To install the dimsm package do
` pip install dimsm `
If want to install the package with experimental features do
` pip install git+https://github.com/ihmeuw-msca/dimsm.git@develop `
## Example
examples/1d_smoother.py: Simple 1D smoother example with sinusoidal curve
1 maintainer
Metadata
1 maintainer
Release files for dimsm 0.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dimsm-0.0.0.tar.gz | 12.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dimsm-0.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.9 kB
Release files / dimsm-0.0.0.tar.gz
| Download URL | dimsm-0.0.0.tar.gz |
|---|---|
| Size | 12.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7
|
Release files / dimsm-0.0.0-py3-none-any.whl
| Download URL | dimsm-0.0.0-py3-none-any.whl |
|---|---|
| Size | 15.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7
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