Help protect the Great Barrier Reef with TensorFlow on Kaggle Join Challenge

tfma.view.render_slicing_attributions

Renders the slicing metrics view as widget.

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

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