Definition
While singular ‘graph’ refers to the abstract data structure, ‘graphs’ often denotes either multiple distinct graph instances or visual plots used in ML monitoring. In visualization, line graphs or bar charts display metrics like loss curves or accuracy over epochs. In data modeling, it refers to collections of interconnected entities. Understanding the distinction helps in differentiating between the structural representation of relational data and the analytical visualization of model performance metrics during training and evaluation phases.
Summary
The plural form referring to multiple graph structures or visual representations of data trends in machine learning.
Key Concepts
- Multiple Structures
- Visualization
- Metrics Plotting
- Data Collections
Use Cases
- Training Loss Visualization
- Multi-Graph Datasets
- Performance Benchmarking Charts