Trainer of machine learning models that automatically manages the whole process of training,saving and restoring models and much more
1 maintainer
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1 maintainer
Release files for emloop 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| emloop-0.2.1.tar.gz | 62.4 kB | Without provenance | Details for emloop-0.2.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| emloop-0.2.1-py3-none-any.whl | Python 3 | none | any | Details for emloop-0.2.1-py3-none-any.whl |
Total release size: 152.7 kB
Release files / emloop-0.2.1.tar.gz
| Download URL | emloop-0.2.1.tar.gz |
|---|---|
| Size | 62.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4897e6b882fb9c0c6791b9a337520759cfd1828ea502f066ecbdb9ecaea66efd
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BLAKE2b-256 checksum How to use checksums |
09f81674b680318cb3ecd01bfd030a22fbd898554ed2e20ea26ecc1c6304b9ee
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Python-urllib/3.7
|
Release files / emloop-0.2.1-py3-none-any.whl
| Download URL | emloop-0.2.1-py3-none-any.whl |
|---|---|
| Size | 90.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
bf3ecc01124fbd149ed7f8ba4c9974259ee713ab723803160767ebe25b0784c0
|
|
BLAKE2b-256 checksum How to use checksums |
7ae2dd66a40d349a1119912b85a61dd8a6388799d6f42971226eb28e1543e840
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Python-urllib/3.7
|
Security for emloop 0.2.1
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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