SageMaker Sandbox
AWS SageMaker has a fantastic set of functional components that can be used in concert to setup production level data processing and machine learning functionality.
- Training Data: Organized S3 buckets for training data
- Feature Store: Store/organize 'curated/known' feature sets
- Model Registery: Models with known performance stats/Model Scoreboards
- Model Endpoints: Easy to use HTTP(S) endpoints for single or batch predictions
Why SageMaker Sandbox?
- SageMaker is awesome but fairly complex
- Spider lets us setup SageMaker Pipelines in a few lines of code
- Pipeline Graphs: Visibility/Transparency into a Pipeline
- What S3 data sources are getting pulled?
- What Features Store(s) is the Model Using?
- What's the Provenance of a Model in Model Registry?
- What SageMaker Endpoints are associated with this model?
Installation
pip install sagesand
1 maintainer
Release files for sagesand 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sagesand-0.1.1.tar.gz | 996.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sagesand-0.1.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 1.0 MB
Release files / sagesand-0.1.1.tar.gz
| Download URL | sagesand-0.1.1.tar.gz |
|---|---|
| Size | 996.9 kB |
| Tags | Source |
|
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/4.0.1 CPython/3.10.1
|
Release files / sagesand-0.1.1-py2.py3-none-any.whl
| Download URL | sagesand-0.1.1-py2.py3-none-any.whl |
|---|---|
| Size | 11.7 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
0a76b12066b33380cd3bdd28de7894997daff1cad982dc8a41e95af6102bfafb
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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/4.0.1 CPython/3.10.1
|
