Azure Machine Learning Pipeline high level API
Project description
Azure-ML-Pipeline
Azure Machine Learning Pipeline high level API
This project defines a set of high level APIs to define and publish Machine Learning Pipeline from Azure Machine Learning Service.
Azure Machine Learning Service supports 2 types of pipelines:
- Http triggered pipeline: expose a constant REST endpoint to be triggered by authenticated Http request
- Schedule based pipeline: pipeline is triggered by a predefined time interval.
Use the libary
- for Http triggered pipeline: inherent HttpTriggeredPipeline class and override two methods:registerDataStores() and definePipelineSteps() . Example: HttpSklearnAzureFunctionPipeline.py
- for schedule based pipeline: (developing)
Contribute to this repo
Build locally
Use conda (recommended)
conda create -p .env python=3.7
conda activate ./.env
.env/bin/pip install -r src/requirements.txt
Use pip
python3.6 -m venv .env
source .env/bin/activate
.env/bin/pip install -r src/requirements.txt
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
aml-pipeline-0.0.1.tar.gz
(3.6 kB
view details)
Built Distribution
File details
Details for the file aml-pipeline-0.0.1.tar.gz
.
File metadata
- Download URL: aml-pipeline-0.0.1.tar.gz
- Upload date:
- Size: 3.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.1.2 requests-toolbelt/0.9.1 tqdm/4.55.2 CPython/3.7.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4459d0528beff8e03184c44d3ebe8776642820bcfbd23eaeec80689dddc1a0c9 |
|
MD5 | 2f9a8f7f026890bcf774f541c2825f45 |
|
BLAKE2b-256 | f02338cebd979813bff0cde3c6823fe1cdad2a4950fd0110fc23eac1dd5d0031 |
File details
Details for the file aml_pipeline-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: aml_pipeline-0.0.1-py3-none-any.whl
- Upload date:
- Size: 5.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.1.2 requests-toolbelt/0.9.1 tqdm/4.55.2 CPython/3.7.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e514ad5836197f755791c17b44ad42c8ec84f8099a6babbbd044697d9a29642c |
|
MD5 | 89184427502fd3ac238cc9fff27ba75e |
|
BLAKE2b-256 | 95211ce308815c4c2ac60c9d5d31a8a0f7b0e74741bb8d924c1fd8281fb630b7 |