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Developer Guide
Prediction
The Prediction section lists APIs that are used for handling single prediction and batch prediction.
Handling Single Prediction
The handle_single_prediction API is designed to handle single predictions by sending a POST request to a prediction endpoint. It takes input data containing the usecase ID, version, and data for prediction. The prediction is made by asynchronously posting the data to the specified prediction endpoint.

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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.
  - Handling Single Prediction
    The handle_single_prediction API is designed to handle single predictions by sending a POST request to a prediction endpoint. It takes input data containing the usecase ID, version, and data for prediction. The prediction is made by asynchronously posting the data to the specified prediction endpoint.
  - Handling Batch Prediction
    The handle_batch_prediction API endpoint is designed for batch predictions, allowing users to predict outcomes for a set of input data. It provides options to either view/download the prediction results. The prediction process is carried out by calling a function from prediction_package.batch_prediction_helper.
- Model Inference (beta)
- Download-model
  These APIs are used to download Python package, Docker container package, and 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

Handling Single Prediction

The handle_single_prediction API is designed to handle single predictions by sending a POST request to a prediction endpoint. It takes input data containing the usecase ID, version, and data for prediction. The prediction is made by asynchronously posting the data to the specified prediction endpoint.

Method

POST

Endpoint

/v1/aion/problemtypes/prediction/singleinstance/

Request Parameters


usecaseid	Mandatory	The ID of the use case for which you want the prediction results.
model_version	Mandatory	The version number of the model.
predict_file_path		The path where the prediction results are to be stored.

After providing the values, click Execute.

Response Parameters

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

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