Manage Inf Model
After creating a Stream in Edge Conductor and requesting AI Conductor to train the model, AI Conductor will use the AI Solution information linked to the Stream to train the model and generate artifacts (Model, Report).
The entire history of model training can be viewed in Inf Model. Data Scientists can easily check training history and manage models through training logs and resource monitoring features.
Topics
View Model List and Details
You can view the entire history of all models. Information such as the name of the Stream used for each model, training status, training date, resources used and their monitoring, training time, logs, and model version can be checked.
In addition, through resource monitoring and logs, Data Scientists can accurately check and manage the performance and operation of the models they developed.
View Logs
Each inf. model contains two types of logs.
The first is a log generated during the operation of AI Contents, provided under the name pipeline.log. This allows you to check the operations in the pipeline configuration for training and troubleshoot issues.
The second is a log generated during the training process, provided under the name process.log. This allows you to verify the operations during the training process through the model, troubleshoot problems, or improve performance.