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.
[{
"type": "thumb-down",
"id": "missingTheInformationINeed",
"label":"Missing the information I need"
},{
"type": "thumb-down",
"id": "tooComplicatedTooManySteps",
"label":"Too complicated / too many steps"
},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Out of date"
},{
"type": "thumb-down",
"id": "samplesCodeIssue",
"label":"Samples / code issue"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]
{
"lastModified": "Last updated 2024-04-26 UTC.",
"confidential": False
}