An end to end machine learning app to predict canteens attendance 2-3 weeks ahead in Nantes Metropole
Metadata
Release files for attendance-model 0.0.8
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| attendance-model-0.0.8.tar.gz | 2.2 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| attendance_model-0.0.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.3 MB
Release files / attendance-model-0.0.8.tar.gz
| Download URL | attendance-model-0.0.8.tar.gz |
|---|---|
| Size | 2.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3c7a2045c3e1cb80cf84700c88c1ee78b0deaadb464c9ae3701bec76b95385b0
|
|
BLAKE2b-256 checksum How to use checksums |
76a09c9720f9a4365be8072974a452b740d4f67183d0e910f6d0cc8485189351
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.11
|
Release files / attendance_model-0.0.8-py3-none-any.whl
| Download URL | attendance_model-0.0.8-py3-none-any.whl |
|---|---|
| Size | 2.2 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f65fa7234ace75798b6498b6dc8a44881bd52e13bbc873c1830ab3fe139219be
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BLAKE2b-256 checksum How to use checksums |
6d3a18ebaa071548659cdb2a3dd6bf882da95c750fcbd36bcb485a12382478d3
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.11
|
Security for attendance-model 0.0.8
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