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GenerationConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Generation config.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
Attributes |
|
---|---|
Name | Description |
temperature |
float
Optional. Controls the randomness of predictions. This field is a member of oneof _ _temperature .
|
top_p |
float
Optional. If specified, nucleus sampling will be used. This field is a member of oneof _ _top_p .
|
top_k |
float
Optional. If specified, top-k sampling will be used. This field is a member of oneof _ _top_k .
|
candidate_count |
int
Optional. Number of candidates to generate. This field is a member of oneof _ _candidate_count .
|
max_output_tokens |
int
Optional. The maximum number of output tokens to generate per message. This field is a member of oneof _ _max_output_tokens .
|
stop_sequences |
MutableSequence[str]
Optional. Stop sequences. |
presence_penalty |
float
Optional. Positive penalties. This field is a member of oneof _ _presence_penalty .
|
frequency_penalty |
float
Optional. Frequency penalties. This field is a member of oneof _ _frequency_penalty .
|
response_mime_type |
str
Optional. Output response mimetype of the generated candidate text. Supported mimetype: - text/plain : (default) Text output.
- application/json : JSON response in the candidates.
The model needs to be prompted to output the appropriate
response type, otherwise the behavior is undefined. This
is a preview feature.
|
response_schema |
google.cloud.aiplatform_v1beta1.types.Schema
Optional. The Schema object allows the definition of
input and output data types. These types can be objects, but
also primitives and arrays. Represents a select subset of an
`OpenAPI 3.0 schema
object |
Methods
GenerationConfig
GenerationConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Generation config.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields