dataeval.metrics.bias.CoverageOutput¶

class dataeval.metrics.bias.CoverageOutput¶

Output class for coverage() bias metric.

uncovered_indices¶

Array of uncovered indices

Type:¶

NDArray[np.intp]

critical_value_radii¶

Array of critical value radii

Type:¶

NDArray[np.float64]

coverage_radius¶

Radius for coverage

Type:¶

float

dict()¶

Output attributes as a dictionary.

Return type:¶

dict[str, Any]

meta()¶

Execution metadata as a dictionary.

Return type:¶

dict[str, Any]

plot(images, top_k=6)¶

Plot the top k images together for visualization

Parameters:¶

images : ArrayLike¶

Original images (not embeddings) in (N, C, H, W) or (N, H, W) format

top_k : int, default 6¶

Number of images to plot (plotting assumes groups of 3)

Return type:¶

matplotlib.figure.Figure