Resources

Users must have the COLEMANAI-User or the COLEMANAI-Administrator role to assign resources to tags.

This table describes the resources that can be imported into the target tenant.

Resource Category Description
Dataset Data Collection A dataset is the data that is used as input in a quest to build a model. The import in the target tenant includes the definition of the dataset from Infor Data Lake.
Groups Data Collection The groups bind the multiple datasets together with a unique name. This is a mandatory step that is required for the successful import of the Optimization quest into the target tenant.
Quest Machine Learning A quest is the flow of activities that build the machine learning model.

The import in the target tenant includes the training and production quest definition.

Endpoint Machine Learning An endpoint is the deployed machine-learning model (REST API) that is invoked to get real-time predictions.

The import in the target tenant includes the endpoint definition.

Custom Algorithm Machine Learning A custom algorithm is a user-defined source code that is used as an algorithm to train a machine-learning model.

The import in the target tenant includes the custom algorithm docker image and the source code files package.

Quest Optimization A quest is the flow of activities that build the optimization model.

The import in the target tenant includes the design and production quest definition.

Endpoint Optimization An endpoint is the deployed optimization model (REST API) that is invoked to get real-time solutions.

The import in the target tenant includes the endpoint definition.

Custom Algorithm Optimization A custom algorithm is a user-defined source code that is used to solve the optimization problems.

The import in the target tenant includes the custom algorithm docker image and the source code files package.