VMC
Virtual Models Collection (VMC) is a collection of virtual models that can be used to test and evaluate the performance of various machine learning models. The collection includes models of various sizes and complexities, and can be used to test the performance of machine learning models on different types of data.
Metadata
Release files for vmc 0.0.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| vmc-0.0.10.tar.gz | 46.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vmc-0.0.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 121.6 kB
Release files / vmc-0.0.10.tar.gz
| Download URL | vmc-0.0.10.tar.gz |
|---|---|
| Size | 46.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f6a8360a6f84c407361220771c0ce20e43351d948203ffc2336a8c785f2fb156
|
|
BLAKE2b-256 checksum How to use checksums |
4be6b431b2d25dfbc58502aa6716cb41abc96c981cdfdef4da7ded0499bdd149
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.3 CPython/3.12.4 Darwin/23.6.0
|
Release files / vmc-0.0.10-py3-none-any.whl
| Download URL | vmc-0.0.10-py3-none-any.whl |
|---|---|
| Size | 75.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fba9ea6c99218188c663f1bf6d381bdf996304c563dc2ca79f74d7d6b1a11895
|
|
BLAKE2b-256 checksum How to use checksums |
867b996264809b929c15c768fdfb82cdb149e50af0c1f08ee22d1d43c47dec26
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.3 CPython/3.12.4 Darwin/23.6.0
|