System Requirements and Compatibility
MaxAI Workbench operates as part of the HCL Unica suite of products. MaxAI Workbench requires the latest Unica Platform.
About the Product
MaxAI Workbench is a comprehensive platform for managing the AI lifecycle, designed to apply machine learning to real-world challenges.
Fixed Defects
The following table lists the defects fixed in Unica Journey 25.1.0.1:
Known Issues
The following table lists the known issues in MaxAI Workbench:
Introduction to MaxAI Workbench
MaxAI Workbench is an AI life cycle management and data science platform.
MaxAI Workbench Integration Single Sign-on
Long running trainings in MaxAI Workbench can time out if Unica Platform's session times out before the training is over in MaxAI Workbench. For on-premises Platform installation, manually run the configTool and populateDb commands to get the required MaxAI Workbench configuration node and AIONAdmin role in Platform.
Configuration on Unica Platform
After installing MaxAI Workbench, you must assign the MaxAI Workbench-specific role to the user to access MaxAI Workbench from Unica.
Overview
To access the MaxAI Workbench REST API interface, use the following URL:
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.
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.
AutoPilot
This Autopilot Mode refers to a feature that allows users to build an automated model without direct human intervention.
Building Usecases with API
To build a usecase or to train a model, complete the following steps:
Overview
MLaC (Machine Learning as a Code) is a python code corresponding to each ML pipeline stage
Introduction
MaxAI Workbench is an AI life cycle management platform for applying machine learning to real-world problems. MaxAI Workbench encompasses the complete pipeline from raw data ingestion to a deployable machine learning model with a less-code/no-code approach.
Model Prediction
Model prediction predicts the input data based on the pattern of training data.
Trusted AI
This feature is available for classification and regression problem types.
Model Monitoring
This feature is available for classification and regression problem types.
Utility
For Data Generator and BYOM (Bring Your Own Model), select the Utility tab.
Reference Models
In version 25.1.0, MaxAI Workbench provides reference models for use with products like Unica Campaign, Unica Journey, HCL CDP, etc.