tfma.view.render_slicing_attributions

Renders the slicing metrics view as widget.

tfma.view.render_slicing_attributions(
    result: tfma.EvalResult,
    slicing_column: Optional[str] = None,
    slicing_spec: Optional[Union[slicer.SingleSliceSpec, tfma.SlicingSpec]] = None,
    metric_name: Optional[str] = None,
    weighted_example_column: Optional[str] = None,
    event_handlers: Optional[Callable[[Dict[str, Union[str, float]]], None]] = None
) -> Optional[visualization.SlicingMetricsViewer]

Args
result	An tfma.EvalResult.
slicing_column	The column to slice on.
slicing_spec	The tfma.SlicingSpec to filter results. If neither column nor spec is set, show overall.
metric_name	Name of attributions metric to show attributions for. Optional if only one metric used.
weighted_example_column	Override for the weighted example column. This can be used when different weights are applied in different aprts of the model (eg: multi-head).
event_handlers	The event handlers

Returns
A SlicingMetricsViewer object if in Jupyter notebook; None if in Colab.