wandb — Intermediate Playground

Weights & Biases: experiment tracking and collaboration for ML

wandb intermediate patternsRun locally

Install

pip install wandb

Python CodeRun locally

# Install: pip install wandb
import wandb

# Intermediate wandb usage
# Real-world patterns and configuration
print("wandb intermediate patterns")

# Install: pip install wandb
import wandb

# Intermediate wandb usage
# Real-world patterns and configuration
print("wandb intermediate patterns")

These patterns demonstrate how wandb is used in production applications.

Try modifying the code above to explore different behaviors. Can you extend the example to handle a new use case?