tools to work on machine learning and data science projects
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Release files for MLme 0.0.102
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| MLme-0.0.102.tar.gz | 3.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| MLme-0.0.102-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.6 kB
Release files / MLme-0.0.102.tar.gz
| Download URL | MLme-0.0.102.tar.gz |
|---|---|
| Size | 3.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d23c58dd9a0619ff3f273bb8eae3c5774d47c416e5e63cc919ec891214874925
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BLAKE2b-256 checksum How to use checksums |
9b43501898665934d9d07293dbd5a9feefe4dbe11f5d06c4f0b55604331433ff
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / MLme-0.0.102-py3-none-any.whl
| Download URL | MLme-0.0.102-py3-none-any.whl |
|---|---|
| Size | 6.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d15fddf436edaf2cc2e46414f9fba7db7e5109c2a8cf7760147c9f356b90047b
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BLAKE2b-256 checksum How to use checksums |
dc09bfd74ff9a6b8a36827fe3ea9b1c25028b064f019fe3e946c1e5c19cda1ca
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
