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Class PointwiseMetric (1.144.0)
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PointwiseMetric (
* ,
metric : str ,
metric_prompt_template : typing . Union [
vertexai . evaluation . metrics . metric_prompt_template . PointwiseMetricPromptTemplate ,
str ,
]
)
A Model-based Pointwise Metric.
A model-based evaluation metric that evaluate a single generative model's
response.
For more details on when to use model-based pointwise metrics, see
Evaluation methods and metrics .
Usage Examples:
```
candidate_model = GenerativeModel("gemini-1.5-pro")
eval_dataset = pd.DataFrame({
"prompt" : [...],
})
fluency_metric = PointwiseMetric(
metric="fluency",
metric_prompt_template=MetricPromptTemplateExamples.get_prompt_template('fluency'),
)
pointwise_eval_task = EvalTask(
dataset=eval_dataset,
metrics=[
fluency_metric,
MetricPromptTemplateExamples.Pointwise.GROUNDEDNESS,
],
)
pointwise_result = pointwise_eval_task.evaluate(
model=candidate_model,
)
```
Methods
PointwiseMetric
PointwiseMetric (
* ,
metric : str ,
metric_prompt_template : typing . Union [
vertexai . evaluation . metrics . metric_prompt_template . PointwiseMetricPromptTemplate ,
str ,
]
)
Initializes a pointwise evaluation metric.
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Last updated 2026-04-01 UTC.
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[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-04-01 UTC."],[],[]]