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Class EvaluationClassificationMetric (1.67.1)
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EvaluationClassificationMetric(
label_name: typing.Optional[str] = None,
auPrc: typing.Optional[float] = None,
auRoc: typing.Optional[float] = None,
logLoss: typing.Optional[float] = None,
confidenceMetrics: typing.Optional[
typing.List[typing.Dict[str, typing.Any]]
] = None,
confusionMatrix: typing.Optional[typing.Dict[str, typing.Any]] = None,
)
The evaluation metric response for classification metrics.
Parameters
Name
Description
label_name
str
Optional. The name of the label associated with the metrics. This is only returned when only_summary_metrics=False
is passed to evaluate().
auPrc
float
Optional. The area under the precision recall curve.
auRoc
float
Optional. The area under the receiver operating characteristic curve.
logLoss
float
Optional. Logarithmic loss.
confidenceMetrics
List[Dict[str, Any]]
Optional. This is only returned when only_summary_metrics=False
is passed to evaluate().
confusionMatrix
Dict[str, Any]
Optional. This is only returned when only_summary_metrics=False
is passed to evaluate().
Properties
The Google Cloud Storage paths to the dataset used for this evaluation.
task_name
The type of evaluation task for the evaluation..
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Last updated 2024-09-19 UTC.
[{
"type": "thumb-down",
"id": "hardToUnderstand",
"label":"Hard to understand"
},{
"type": "thumb-down",
"id": "incorrectInformationOrSampleCode",
"label":"Incorrect information or sample code"
},{
"type": "thumb-down",
"id": "missingTheInformationSamplesINeed",
"label":"Missing the information/samples I need"
},{
"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"
}]
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{"lastModified": "Last updated 2024-09-19 UTC."}