validate_config#
jeanspy.model.FlatPriorModel.validate_config
Class and construction: FlatPriorModel.
- static FlatPriorModel.validate_config(data)[source]#
Validate a DataFrame of explicit finite uniform-prior bounds.
The nonempty index contains unique parameter names; columns must include unique lower and upper bounds with lower < upper in each row. Returns None. A non-DataFrame raises TypeError; invalid schema or bounds raise ValueError. Use load_config to read a CSV path first.