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.