Fundamentals
Overview
The Open Innovation Platform includes a tracking server, compatible with MLflow, for managing machine learning experiments. This server specializes in tracking parameters, metrics, and artifacts.
The platform uses the Tracking Client, an API client, for efficient interaction with the tracking server in various MLOps activities.
Key Features
- Parameter and Metric Logging: Captures and logs experiment parameters and metrics for detailed analysis.
- Artifact Storage: Manages storage of model artifacts for comprehensive experiment documentation.
- Data Security: Ensures high standards of security for all tracked data.
- Isolated Experimentation: Provides isolated environments for consistent and reliable experiment results.