Welcome
Developer Guide
Download-model
These APIs are used to download Python package, Docker container package, and Mlac.
Downloading the Docker Container Packages
Use this API to download the Marketing AION Docker container packages.

Release Notes
Installation Guide
Developer Guide
- Overview
  To access the Marketing AION REST API interface, use the Docker Desktop application to start the Docker container.
- Tracker
- API Status
  Use these APIs to get the status and set the status of the different types of API.
- Data Handler Overview
  Data Handler has four different APIs, and three of the APIs represent a different method uploading data.
- Training
  For Training, you can execute either of the generic training by using Train for pipeline API.
- Prediction
  The Prediction section lists APIs that are used for handling single prediction and batch prediction.
- Model Inference (beta)
- Download-model
  These APIs are used to download Python package, Docker container package, and Mlac.
  - Downloading the Python Packages
    Use this API to download the Marketing AION Python package.
  - Downloading the Docker Container Packages
    Use this API to download the Marketing AION Docker container packages.
  - Downloading MLAC
    Use this API to download Marketing AION MLAC.
- Monitoring
  Monitoring ML models checks for changes in data distribution ensuring that data is maintaining an acceptable level of variation.
- Xplain
  Explainability gives an explanation about Prediction and Model.
- Usecases
  Use the following APIs to retrieve the Use Case list, to delete use cases, and to retrieve the logs.
- EDA
- AutoPilot
  This Autopilot Mode refers to a feature that allows users to build an automated model without direct human intervention.
- Data Generator
- Building Usecases with API
  To build a usecase or to train a model, complete the following steps:
MLAC User Guide
User Guide

Downloading the Docker Container Packages

Use this API to download the Marketing AION Docker container packages.

Method

GET

Endpoint

/v1/aion/problemtype/download/docker_container_package/

Request Parameters


deployPath		The path where you want the Python package to be deployed.
usecasename		The ID of the concerned use case.
Version		The version number of the model.

After providing the values, click Execute.

Response Parameters

After clicking Execute, you get a Response similar to the following example:

msg
status

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