import trane

data, metadata = trane.load_airbnb()
problem_generator = trane.ProblemGenerator(
    metadata=metadata,
    entity_columns=["location"]
)
problems = problem_generator.generate()

print(f'Generated {len(problems)} problems.')
print(problems[108])
print(problems[108].create_target_values(data).head(5))

Generated 168 problems.
For each <location> predict the majority <rating> in all related records in the next 2 days.
  location       time  target
0   London 2021-01-01       5
1   London 2021-01-03       4
2   London 2021-01-05       5
3   London 2021-01-07       4
4   London 2021-01-09       5