sklearn.utils
.check_scalar¶
-
sklearn.utils.
check_scalar
(x, name, target_type, *, min_val=None, max_val=None)[source]¶ Validate scalar parameters type and value.
- Parameters
- xobject
The scalar parameter to validate.
- namestr
The name of the parameter to be printed in error messages.
- target_typetype or tuple
Acceptable data types for the parameter.
- min_valfloat or int, optional (default=None)
The minimum valid value the parameter can take. If None (default) it is implied that the parameter does not have a lower bound.
- max_valfloat or int, optional (default=None)
The maximum valid value the parameter can take. If None (default) it is implied that the parameter does not have an upper bound.
- Raises
- TypeError
If the parameter’s type does not match the desired type.
- ValueError
If the parameter’s value violates the given bounds.