To access the Marketing AION REST API interface, use the Docker Desktop application to start the Docker container.
Use these APIs to get the status and set the status of the different types of API.
Data Handler has four different APIs, and three of the APIs represent a different method uploading data.
For Training, you can execute either of the generic training by using Train for pipeline API.
The Prediction section lists APIs that are used for handling single prediction and batch prediction.
These APIs are used to download Python package, Docker container package, and Mlac.
Monitoring ML models checks for changes in data distribution ensuring that data is maintaining an acceptable level of variation.
Explainability gives an explanation about Prediction and Model.
Use the following APIs to retrieve the Use Case list, to delete use cases, and to retrieve the logs.
Use this API to set the location of the data being used by the EDA.
Use this API to view the records.
Use this API to check the data overview.
Use this API for correlation analysis.
Use this API to view the unsupervised clustering.
Use this API to view the Data Distribution.
Use this API to check feature importance.
Use this API to view the pair graph.
Use this API to view the fairness metrics.
Use this API to view the timeseries analysis.
This Autopilot Mode refers to a feature that allows users to build an automated model without direct human intervention.
To build a usecase or to train a model, complete the following steps:
