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UnifiedMetric
(
*
,
bleuSpec
:
typing
.
Optional
[
google
.
genai
.
types
.
BleuSpec
]
=
None
,
rougeSpec
:
typing
.
Optional
[
google
.
genai
.
types
.
RougeSpec
]
=
None
,
pointwiseMetricSpec
:
typing
.
Optional
[
google
.
genai
.
types
.
PointwiseMetricSpec
]
=
None
,
llmBasedMetricSpec
:
typing
.
Optional
[
vertexai
.
_genai
.
types
.
common
.
LLMBasedMetricSpec
]
=
None
,
predefinedMetricSpec
:
typing
.
Optional
[
vertexai
.
_genai
.
types
.
common
.
PredefinedMetricSpec
]
=
None
)
The unified metric used for evaluation.
Methods
UnifiedMetric
UnifiedMetric
(
*
,
bleuSpec
:
typing
.
Optional
[
google
.
genai
.
types
.
BleuSpec
]
=
None
,
rougeSpec
:
typing
.
Optional
[
google
.
genai
.
types
.
RougeSpec
]
=
None
,
pointwiseMetricSpec
:
typing
.
Optional
[
google
.
genai
.
types
.
PointwiseMetricSpec
]
=
None
,
llmBasedMetricSpec
:
typing
.
Optional
[
vertexai
.
_genai
.
types
.
common
.
LLMBasedMetricSpec
]
=
None
,
predefinedMetricSpec
:
typing
.
Optional
[
vertexai
.
_genai
.
types
.
common
.
PredefinedMetricSpec
]
=
None
)
Create a new model by parsing and validating input data from keyword arguments.
Raises [ ValidationError
][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self
is explicitly positional-only to allow self
as a field name.
