Google Cloud Ai Platform V1 Client - Class GenerationConfig (1.2.0)

Version 1.2.0

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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class GenerationConfig.

Generation config.

Generated from protobuf message google.cloud.aiplatform.v1.GenerationConfig

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
Name	Description
data	array Optional. Data for populating the Message object.
↳ temperature	float Optional. Controls the randomness of predictions.
↳ top_p	float Optional. If specified, nucleus sampling will be used.
↳ top_k	float Optional. If specified, top-k sampling will be used.
↳ candidate_count	int Optional. Number of candidates to generate.
↳ max_output_tokens	int Optional. The maximum number of output tokens to generate per message.
↳ stop_sequences	array Optional. Stop sequences.
↳ presence_penalty	float Optional. Positive penalties.
↳ frequency_penalty	float Optional. Frequency penalties.
↳ response_mime_type	string 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\V1\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. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

getTemperature

Optional. Controls the randomness of predictions.

Returns
Type	Description
float

hasTemperature

clearTemperature

setTemperature

Optional. Controls the randomness of predictions.

Parameter
Name	Description
var	float

Returns
Type	Description
$this

getTopP

Optional. If specified, nucleus sampling will be used.

Returns
Type	Description
float

hasTopP

clearTopP

setTopP

Optional. If specified, nucleus sampling will be used.

Parameter
Name	Description
var	float

Returns
Type	Description
$this

getTopK

Optional. If specified, top-k sampling will be used.

Returns
Type	Description
float

hasTopK

clearTopK

setTopK

Optional. If specified, top-k sampling will be used.

Parameter
Name	Description
var	float

Returns
Type	Description
$this

getCandidateCount

Optional. Number of candidates to generate.

Returns
Type	Description
int

hasCandidateCount

clearCandidateCount

setCandidateCount

Optional. Number of candidates to generate.

Parameter
Name	Description
var	int

Returns
Type	Description
$this

getMaxOutputTokens

Optional. The maximum number of output tokens to generate per message.

Returns
Type	Description
int

hasMaxOutputTokens

clearMaxOutputTokens

setMaxOutputTokens

Optional. The maximum number of output tokens to generate per message.

Parameter
Name	Description
var	int

Returns
Type	Description
$this

getStopSequences

Optional. Stop sequences.

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setStopSequences

Optional. Stop sequences.

Parameter
Name	Description
var	string[]

Returns
Type	Description
$this

getPresencePenalty

Optional. Positive penalties.

Returns
Type	Description
float

hasPresencePenalty

clearPresencePenalty

setPresencePenalty

Optional. Positive penalties.

Parameter
Name	Description
var	float

Returns
Type	Description
$this

getFrequencyPenalty

Optional. Frequency penalties.

Returns
Type	Description
float

hasFrequencyPenalty

clearFrequencyPenalty

setFrequencyPenalty

Optional. Frequency penalties.

Parameter
Name	Description
var	float

Returns
Type	Description
$this

getResponseMimeType

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.

Returns
Type	Description
string

setResponseMimeType

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.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getResponseSchema

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. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

Returns
Type	Description
Google\Cloud\AIPlatform\V1\Schema|null

hasResponseSchema

clearResponseSchema

setResponseSchema

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. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

Parameter
Name	Description
var	Google\Cloud\AIPlatform\V1\Schema

Returns
Type	Description
$this