Machine Learning Tracking¶

As an AI-centered platform, tracking of ML activities is essential. Machine Learning Tracking refers to the monitoring and analysis of model performance during training. It involves tracking various metrics like accuracy and loss. This process helps improving the models performance to make it more effective and reliable.

We have two solutions available to integrate ML Tracking with your SharingHub workflow:

• GitLab Integration
• SharingHub Integration