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SageMaker Spider

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

What is the SageMaker Spider?

  • 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 sagemaker-spider

Release files for smspider 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for smspider 0.1.1
File Size Uploaded
smspider-0.1.1.tar.gz 988.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for smspider 0.1.1
File Interpreter ABI Platform
smspider-0.1.1-py2.py3-none-any.whl Python 2, Python 3 none any Details

Total release size: 994.9 kB

Release files / smspider-0.1.1.tar.gz

Download URL smspider-0.1.1.tar.gz
Size 988.2 kB
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b4e7ffaae95733bc391b4cc96626fa3f6f63a1f2fa8179f09f01622f61bd04b4
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Uploaded via twine/4.0.1 CPython/3.8.12

Release files / smspider-0.1.1-py2.py3-none-any.whl

Download URL smspider-0.1.1-py2.py3-none-any.whl
Size 6.7 kB
Tags Python 2 Python 3
SHA-256 checksum
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996953f8a83ef54e68c21b0daab518cddb51878019fbe5a6e1c7d8e7416bb5f3
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d0136131b1020eea8c5059960726558e15c09e302eb858534ce50ce0035b3cb0
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Uploaded via twine/4.0.1 CPython/3.8.12

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0.1.1 This release

2 release files

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