Dinamic linear model with normal distribution. There is an option to work both with known and unknown variances for states and observations.
Release files for mld-normal-yan-werneck-tcc 0.0.14
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mld_normal_yan_werneck_tcc-0.0.14.tar.gz | 3.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mld_normal_yan_werneck_tcc-0.0.14-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.7 kB
Release files / mld_normal_yan_werneck_tcc-0.0.14.tar.gz
| Download URL | mld_normal_yan_werneck_tcc-0.0.14.tar.gz |
|---|---|
| Size | 3.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
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Release files / mld_normal_yan_werneck_tcc-0.0.14-py3-none-any.whl
| Download URL | mld_normal_yan_werneck_tcc-0.0.14-py3-none-any.whl |
|---|---|
| Size | 5.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
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