tfma.view.render_plot

Stay organized with collections Save and categorize content based on your preferences.

Renders the plot view as widget.

tfma.view.render_plot(
    result: tfma.EvalResult,
    slicing_spec: Optional[Union[slicer.SingleSliceSpec, tfma.SlicingSpec]] = None,
    output_name: Optional[str] = None,
    class_id: Optional[int] = None,
    top_k: Optional[int] = None,
    k: Optional[int] = None,
    label: Optional[str] = None
) -> Optional[visualization.PlotViewer]

Used in the notebooks

Used in the tutorials

result An tfma.EvalResult.
slicing_spec The tfma.SlicingSpec to identify the slice. Show overall if unset.
output_name A string representing the output name.
class_id A number representing the class id if multi class.
top_k The k used to compute prediction in the top k position.
k The k used to compute prediciton at the kth position.
label A partial label used to match a set of plots in the results.

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