Class GeminiTemplateConfig (1.156.0)

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GeminiTemplateConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Template configuration to create Gemini examples from a multimodal dataset.

Attributes
Name	Description
gemini_example	google.cloud.aiplatform_v1beta1.types.GeminiExample Required. The template that will be used for assembling the request to use for downstream applications.
field_mapping	MutableMapping[str, str] Required. Map of template parameters to the columns in the dataset table.

Classes

FieldMappingEntry

FieldMappingEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters
Name	Description
kwargs	dict Keys and values corresponding to the fields of the message.
mapping	Union[dict, .Message] A dictionary or message to be used to determine the values for this message.
ignore_unknown_fields	Optional(bool) If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

Methods

GeminiTemplateConfig

GeminiTemplateConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Template configuration to create Gemini examples from a multimodal dataset.