📄 Source: GoogleCloudAiplatformV1SchemaTextPromptDatasetMetadata.php
<?php
/*
* Copyright 2014 Google Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not
* use this file except in compliance with the License. You may obtain a copy of
* the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations under
* the License.
*/
namespace Google\Service\Aiplatform;
class GoogleCloudAiplatformV1SchemaTextPromptDatasetMetadata extends \Google\Collection
{
protected $collection_key = 'stopSequences';
/**
* Number of candidates.
*
* @var string
*/
public $candidateCount;
/**
* The Google Cloud Storage URI that stores the prompt data.
*
* @var string
*/
public $gcsUri;
protected $groundingConfigType = GoogleCloudAiplatformV1SchemaPredictParamsGroundingConfig::class;
protected $groundingConfigDataType = '';
/**
* Whether the prompt dataset has prompt variable.
*
* @var bool
*/
public $hasPromptVariable;
/**
* Whether or not the user has enabled logit probabilities in the model
* parameters.
*
* @var bool
*/
public $logprobs;
/**
* Value of the maximum number of tokens generated set when the dataset was
* saved.
*
* @var string
*/
public $maxOutputTokens;
/**
* User-created prompt note. Note size limit is 2KB.
*
* @var string
*/
public $note;
protected $promptApiSchemaType = GoogleCloudAiplatformV1SchemaPromptApiSchema::class;
protected $promptApiSchemaDataType = '';
/**
* Type of the prompt dataset.
*
* @var string
*/
public $promptType;
/**
* Seeding enables model to return a deterministic response on a best effort
* basis. Determinism isn't guaranteed. This field determines whether or not
* seeding is enabled.
*
* @var bool
*/
public $seedEnabled;
/**
* The actual value of the seed.
*
* @var string
*/
public $seedValue;
/**
* Customized stop sequences.
*
* @var string[]
*/
public $stopSequences;
/**
* The content of the prompt dataset system instruction.
*
* @var string
*/
public $systemInstruction;
/**
* The Google Cloud Storage URI that stores the system instruction, starting
* with gs://.
*
* @var string
*/
public $systemInstructionGcsUri;
/**
* Temperature value used for sampling set when the dataset was saved. This
* value is used to tune the degree of randomness.
*
* @var float
*/
public $temperature;
/**
* The content of the prompt dataset.
*
* @var string
*/
public $text;
/**
* Top K value set when the dataset was saved. This value determines how many
* candidates with highest probability from the vocab would be selected for
* each decoding step.
*
* @var string
*/
public $topK;
/**
* Top P value set when the dataset was saved. Given topK tokens for decoding,
* top candidates will be selected until the sum of their probabilities is
* topP.
*
* @var float
*/
public $topP;
/**
* Number of candidates.
*
* @param string $candidateCount
*/
public function setCandidateCount($candidateCount)
{
$this->candidateCount = $candidateCount;
}
/**
* @return string
*/
public function getCandidateCount()
{
return $this->candidateCount;
}
/**
* The Google Cloud Storage URI that stores the prompt data.
*
* @param string $gcsUri
*/
public function setGcsUri($gcsUri)
{
$this->gcsUri = $gcsUri;
}
/**
* @return string
*/
public function getGcsUri()
{
return $this->gcsUri;
}
/**
* Grounding checking configuration.
*
* @param GoogleCloudAiplatformV1SchemaPredictParamsGroundingConfig $groundingConfig
*/
public function setGroundingConfig(GoogleCloudAiplatformV1SchemaPredictParamsGroundingConfig $groundingConfig)
{
$this->groundingConfig = $groundingConfig;
}
/**
* @return GoogleCloudAiplatformV1SchemaPredictParamsGroundingConfig
*/
public function getGroundingConfig()
{
return $this->groundingConfig;
}
/**
* Whether the prompt dataset has prompt variable.
*
* @param bool $hasPromptVariable
*/
public function setHasPromptVariable($hasPromptVariable)
{
$this->hasPromptVariable = $hasPromptVariable;
}
/**
* @return bool
*/
public function getHasPromptVariable()
{
return $this->hasPromptVariable;
}
/**
* Whether or not the user has enabled logit probabilities in the model
* parameters.
*
* @param bool $logprobs
*/
public function setLogprobs($logprobs)
{
$this->logprobs = $logprobs;
}
/**
* @return bool
*/
public function getLogprobs()
{
return $this->logprobs;
}
/**
* Value of the maximum number of tokens generated set when the dataset was
* saved.
*
* @param string $maxOutputTokens
*/
public function setMaxOutputTokens($maxOutputTokens)
{
$this->maxOutputTokens = $maxOutputTokens;
}
/**
* @return string
*/
public function getMaxOutputTokens()
{
return $this->maxOutputTokens;
}
/**
* User-created prompt note. Note size limit is 2KB.
*
* @param string $note
*/
public function setNote($note)
{
$this->note = $note;
}
/**
* @return string
*/
public function getNote()
{
return $this->note;
}
/**
* The API schema of the prompt to support both UI and SDK usages.
*
* @param GoogleCloudAiplatformV1SchemaPromptApiSchema $promptApiSchema
*/
public function setPromptApiSchema(GoogleCloudAiplatformV1SchemaPromptApiSchema $promptApiSchema)
{
$this->promptApiSchema = $promptApiSchema;
}
/**
* @return GoogleCloudAiplatformV1SchemaPromptApiSchema
*/
public function getPromptApiSchema()
{
return $this->promptApiSchema;
}
/**
* Type of the prompt dataset.
*
* @param string $promptType
*/
public function setPromptType($promptType)
{
$this->promptType = $promptType;
}
/**
* @return string
*/
public function getPromptType()
{
return $this->promptType;
}
/**
* Seeding enables model to return a deterministic response on a best effort
* basis. Determinism isn't guaranteed. This field determines whether or not
* seeding is enabled.
*
* @param bool $seedEnabled
*/
public function setSeedEnabled($seedEnabled)
{
$this->seedEnabled = $seedEnabled;
}
/**
* @return bool
*/
public function getSeedEnabled()
{
return $this->seedEnabled;
}
/**
* The actual value of the seed.
*
* @param string $seedValue
*/
public function setSeedValue($seedValue)
{
$this->seedValue = $seedValue;
}
/**
* @return string
*/
public function getSeedValue()
{
return $this->seedValue;
}
/**
* Customized stop sequences.
*
* @param string[] $stopSequences
*/
public function setStopSequences($stopSequences)
{
$this->stopSequences = $stopSequences;
}
/**
* @return string[]
*/
public function getStopSequences()
{
return $this->stopSequences;
}
/**
* The content of the prompt dataset system instruction.
*
* @param string $systemInstruction
*/
public function setSystemInstruction($systemInstruction)
{
$this->systemInstruction = $systemInstruction;
}
/**
* @return string
*/
public function getSystemInstruction()
{
return $this->systemInstruction;
}
/**
* The Google Cloud Storage URI that stores the system instruction, starting
* with gs://.
*
* @param string $systemInstructionGcsUri
*/
public function setSystemInstructionGcsUri($systemInstructionGcsUri)
{
$this->systemInstructionGcsUri = $systemInstructionGcsUri;
}
/**
* @return string
*/
public function getSystemInstructionGcsUri()
{
return $this->systemInstructionGcsUri;
}
/**
* Temperature value used for sampling set when the dataset was saved. This
* value is used to tune the degree of randomness.
*
* @param float $temperature
*/
public function setTemperature($temperature)
{
$this->temperature = $temperature;
}
/**
* @return float
*/
public function getTemperature()
{
return $this->temperature;
}
/**
* The content of the prompt dataset.
*
* @param string $text
*/
public function setText($text)
{
$this->text = $text;
}
/**
* @return string
*/
public function getText()
{
return $this->text;
}
/**
* Top K value set when the dataset was saved. This value determines how many
* candidates with highest probability from the vocab would be selected for
* each decoding step.
*
* @param string $topK
*/
public function setTopK($topK)
{
$this->topK = $topK;
}
/**
* @return string
*/
public function getTopK()
{
return $this->topK;
}
/**
* Top P value set when the dataset was saved. Given topK tokens for decoding,
* top candidates will be selected until the sum of their probabilities is
* topP.
*
* @param float $topP
*/
public function setTopP($topP)
{
$this->topP = $topP;
}
/**
* @return float
*/
public function getTopP()
{
return $this->topP;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudAiplatformV1SchemaTextPromptDatasetMetadata::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1SchemaTextPromptDatasetMetadata');
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