Google Cloud Ai Platform V1 Client - Class GenerationConfig (1.1.0)

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`