Getting started
AWS MLOps package is implemented to help you like a framework for deploying what it is necessary to manage your models.
The goal is to implement this package to keep your focus on your prep and test code using the AWS SageMaker services, AWS Step Functions and AWS Lambda.
It is part of the educational repositories to learn how to write stardard code and common uses of the TDD and CI / CD.
Prerequisites
You can use Serverless framework for deploying the AWS services: if you want to use the guide below, you have to install npm (Node Package Manager) before.
If you want to use another AWS tool, you can see the repository aws-tool-comparison before to implement your version.
Installation
The package is not self-consistent. So you have to download the package by github and to install the requirements before to deploy the example on AWS:
git clone https://github.com/bilardi/aws-mlops
cd aws-mlops/
npm install
export AWS_PROFILE=your-account
export STAGE=studio
bash example/deploy.sh
Or if you want to use this package into your code, you can install by python3-pip:
pip3 install aws_mlops
python3
>>> import aws_mlops
>>> help(aws_mlops)
Read the documentation on readthedocs for
Usage
Development
Change Log
See CHANGELOG.md for details.
License
This package is released under the MIT license. See LICENSE for details.
Metadata
Release files for aws-mlops 1.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| aws-mlops-1.2.2.tar.gz | 18.8 kB | Without provenance | Details for aws-mlops-1.2.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| aws_mlops-1.2.2-py3-none-any.whl | Python 3 | none | any | Details for aws_mlops-1.2.2-py3-none-any.whl |
Total release size: 40.8 kB
Release files / aws-mlops-1.2.2.tar.gz
| Download URL | aws-mlops-1.2.2.tar.gz |
|---|---|
| Size | 18.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / aws_mlops-1.2.2-py3-none-any.whl
| Download URL | aws_mlops-1.2.2-py3-none-any.whl |
|---|---|
| Size | 22.0 kB |
| Tags | Python 3 |
|
SHA-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 |
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Security for aws-mlops 1.2.2
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