SpotML is a command-line tool that lets you manage ML training on spot instances.
- Train entirely on spot instances to maximize savings
- Or mix and match on-demand instances to meet your deadlines.
- Handles all infrastructure so that training is as easy as running it locally.
See documentation.
1 maintainer
Release files for spotml 0.0.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| spotml-0.0.11.tar.gz | 85.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| spotml-0.0.11-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 228.5 kB
Release files / spotml-0.0.11.tar.gz
| Download URL | spotml-0.0.11.tar.gz |
|---|---|
| Size | 85.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12
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Release files / spotml-0.0.11-py3-none-any.whl
| Download URL | spotml-0.0.11-py3-none-any.whl |
|---|---|
| Size | 143.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12
|
