Welcome
User Guide
Model Management
Viewing Existing Models
To view the existing models, complete the following steps:

HCL MaxAI Workbench Documentation
Release Notes
Installation Guide
Developer Guide
MLAC User Guide
User Guide
- 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 Management
  - Creating Usecases
    To create usecases, complete the following steps:
  - Computing Infrastructure
    Users can select the local machine as the compute infrastructure for training.
  - Viewing Existing Models
    To view the existing models, complete the following steps:
  - Publish Models
    Trained model can be published in the form of following packages:
  - Configuring System Settings
    To configure and change system settings, complete the following steps:
- Model Training
- 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.

Viewing Existing Models

To view the existing models, complete the following steps:

Procedure

Click .
The existing use cases and their training status can be seen.
You can launch Trained models for Retaining, Prediction, Trusted AI parameters and Drift Analysis.
For multiple version of use case, click the use case name to view different model versions that were trained by Model Retraining. For example, by clicking AI00053_lanquos, you can view different versions under that Use Case.

You can perform the following operations on existing models:


Import	Import models that can be used for retraining.
Edit	Edit the model name and description.
Logs	View and download the model training logs for the model.
Delete	Delete the model.
Export	Exports the use case code which you can import into other workbench using the Import operation.