tfma.view.render_slicing_metrics
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Renders the slicing metrics view as widget.
tfma.view.render_slicing_metrics(
result: tfma.EvalResult
,
slicing_column: Optional[str] = None,
slicing_spec: Optional[Union[slicer.SingleSliceSpec, tfma.SlicingSpec
]] = None,
weighted_example_column: Optional[str] = None,
event_handlers: Optional[Callable[[Dict[str, Union[str, float]]], None]] = None
) -> Optional[visualization.SlicingMetricsViewer]
Used in the notebooks
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.
|
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.
|
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[]]