Skip to content

Errors

evalica.LengthMismatchError

Bases: ValueError

The dataset dimensions mismatched.

Source code in evalica/evalica.pyi
21
22
class LengthMismatchError(ValueError):
    """The dataset dimensions mismatched."""

evalica.ScoreDimensionError

Bases: ValueError

Inappropriate dimension given; it should be 1D.

Source code in evalica/__init__.py
949
950
951
952
953
954
955
956
957
958
959
960
class ScoreDimensionError(ValueError):
    """Inappropriate dimension given; it should be 1D."""

    def __init__(self, ndim: int) -> None:
        """
        Create and return a new object.

        Args:
            ndim: The given number of dimensions.

        """
        super().__init__(f"scores should be one-dimensional, {ndim} was provided")