Description
This is a test package which helps to implement model training pipeline on Amazon Web Services. The main point is you should have created IAM user with administrator permissions. Using this API you're able to create users with safe permissions automatically and orchestrate your S3 buckets or EC2 instances. Thus, having some Docker image with your training code, you can automatically load your data to a S3 bucket, create a EC2 instance and train your model on your data.
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Metadata
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Release files for aws-wand 1.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| aws_wand-1.0.4.tar.gz | 3.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aws_wand-1.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.2 kB
Release files / aws_wand-1.0.4.tar.gz
| Download URL | aws_wand-1.0.4.tar.gz |
|---|---|
| Size | 3.4 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/5.1.1 CPython/3.12.2
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Release files / aws_wand-1.0.4-py3-none-any.whl
| Download URL | aws_wand-1.0.4-py3-none-any.whl |
|---|---|
| Size | 5.8 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.2
|
