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<?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\CloudNaturalLanguage;
class XPSTextComponentModel extends \Google\Model
{
public const PARTITION_PARTITION_TYPE_UNSPECIFIED = 'PARTITION_TYPE_UNSPECIFIED';
/**
* The default partition.
*/
public const PARTITION_PARTITION_ZERO = 'PARTITION_ZERO';
/**
* It has significantly lower replication than partition-0 and is located in
* the US only. It also has a larger model size limit and higher default RAM
* quota than partition-0. Customers with batch traffic, US-based traffic, or
* very large models should use this partition. Capacity in this partition is
* significantly cheaper than partition-0.
*/
public const PARTITION_PARTITION_REDUCED_HOMING = 'PARTITION_REDUCED_HOMING';
/**
* To be used by customers with Jellyfish-accelerated ops.
*/
public const PARTITION_PARTITION_JELLYFISH = 'PARTITION_JELLYFISH';
/**
* The partition used by regionalized servomatic cloud regions.
*/
public const PARTITION_PARTITION_CPU = 'PARTITION_CPU';
/**
* The partition used for loading models from custom storage.
*/
public const PARTITION_PARTITION_CUSTOM_STORAGE_CPU = 'PARTITION_CUSTOM_STORAGE_CPU';
public const SUBMODEL_TYPE_TEXT_MODEL_TYPE_UNSPECIFIED = 'TEXT_MODEL_TYPE_UNSPECIFIED';
public const SUBMODEL_TYPE_TEXT_MODEL_TYPE_DEFAULT = 'TEXT_MODEL_TYPE_DEFAULT';
public const SUBMODEL_TYPE_TEXT_MODEL_TYPE_META_ARCHITECT = 'TEXT_MODEL_TYPE_META_ARCHITECT';
public const SUBMODEL_TYPE_TEXT_MODEL_TYPE_ATC = 'TEXT_MODEL_TYPE_ATC';
public const SUBMODEL_TYPE_TEXT_MODEL_TYPE_CLARA2 = 'TEXT_MODEL_TYPE_CLARA2';
public const SUBMODEL_TYPE_TEXT_MODEL_TYPE_CHATBASE = 'TEXT_MODEL_TYPE_CHATBASE';
public const SUBMODEL_TYPE_TEXT_MODEL_TYPE_SAFT_SPAN_LABELING = 'TEXT_MODEL_TYPE_SAFT_SPAN_LABELING';
/**
* Model type for entity extraction.
*/
public const SUBMODEL_TYPE_TEXT_MODEL_TYPE_TEXT_EXTRACTION = 'TEXT_MODEL_TYPE_TEXT_EXTRACTION';
/**
* Model type for relationship extraction.
*/
public const SUBMODEL_TYPE_TEXT_MODEL_TYPE_RELATIONSHIP_EXTRACTION = 'TEXT_MODEL_TYPE_RELATIONSHIP_EXTRACTION';
/**
* A composite model represents a set of component models that have to be used
* together for prediction. A composite model appears to be a single model to
* the model user. It may contain only one component model.
*/
public const SUBMODEL_TYPE_TEXT_MODEL_TYPE_COMPOSITE = 'TEXT_MODEL_TYPE_COMPOSITE';
/**
* Model type used to train default, MA, and ATC models in a single batch
* worker pipeline.
*/
public const SUBMODEL_TYPE_TEXT_MODEL_TYPE_ALL_MODELS = 'TEXT_MODEL_TYPE_ALL_MODELS';
/**
* BERT pipeline needs a specific model type, since it uses a different TFX
* configuration compared with DEFAULT (despite sharing most of the code).
*/
public const SUBMODEL_TYPE_TEXT_MODEL_TYPE_BERT = 'TEXT_MODEL_TYPE_BERT';
/**
* Model type for EncPaLM.
*/
public const SUBMODEL_TYPE_TEXT_MODEL_TYPE_ENC_PALM = 'TEXT_MODEL_TYPE_ENC_PALM';
/**
* The Cloud Storage resource path to hold batch prediction model.
*
* @var string
*/
public $batchPredictionModelGcsUri;
/**
* The Cloud Storage resource path to hold online prediction model.
*
* @var string
*/
public $onlinePredictionModelGcsUri;
/**
* The partition where the model is deployed. Populated by uCAIP BE as part of
* online PredictRequest.
*
* @var string
*/
public $partition;
protected $servingArtifactType = XPSModelArtifactItem::class;
protected $servingArtifactDataType = '';
/**
* The name of servo model. Populated by uCAIP BE as part of online
* PredictRequest.
*
* @var string
*/
public $servoModelName;
/**
* The name of the trained NL submodel.
*
* @var string
*/
public $submodelName;
/**
* The type of trained NL submodel
*
* @var string
*/
public $submodelType;
/**
* ## The fields below are only populated under uCAIP request scope.
* https://cloud.google.com/ml-engine/docs/runtime-version-list
*
* @var string
*/
public $tfRuntimeVersion;
/**
* The servomatic model version number. Populated by uCAIP BE as part of
* online PredictRequest.
*
* @var string
*/
public $versionNumber;
/**
* The Cloud Storage resource path to hold batch prediction model.
*
* @param string $batchPredictionModelGcsUri
*/
public function setBatchPredictionModelGcsUri($batchPredictionModelGcsUri)
{
$this->batchPredictionModelGcsUri = $batchPredictionModelGcsUri;
}
/**
* @return string
*/
public function getBatchPredictionModelGcsUri()
{
return $this->batchPredictionModelGcsUri;
}
/**
* The Cloud Storage resource path to hold online prediction model.
*
* @param string $onlinePredictionModelGcsUri
*/
public function setOnlinePredictionModelGcsUri($onlinePredictionModelGcsUri)
{
$this->onlinePredictionModelGcsUri = $onlinePredictionModelGcsUri;
}
/**
* @return string
*/
public function getOnlinePredictionModelGcsUri()
{
return $this->onlinePredictionModelGcsUri;
}
/**
* The partition where the model is deployed. Populated by uCAIP BE as part of
* online PredictRequest.
*
* Accepted values: PARTITION_TYPE_UNSPECIFIED, PARTITION_ZERO,
* PARTITION_REDUCED_HOMING, PARTITION_JELLYFISH, PARTITION_CPU,
* PARTITION_CUSTOM_STORAGE_CPU
*
* @param self::PARTITION_* $partition
*/
public function setPartition($partition)
{
$this->partition = $partition;
}
/**
* @return self::PARTITION_*
*/
public function getPartition()
{
return $this->partition;
}
/**
* The default model binary file used for serving (e.g. online predict, batch
* predict) via public Cloud Ai Platform API.
*
* @param XPSModelArtifactItem $servingArtifact
*/
public function setServingArtifact(XPSModelArtifactItem $servingArtifact)
{
$this->servingArtifact = $servingArtifact;
}
/**
* @return XPSModelArtifactItem
*/
public function getServingArtifact()
{
return $this->servingArtifact;
}
/**
* The name of servo model. Populated by uCAIP BE as part of online
* PredictRequest.
*
* @param string $servoModelName
*/
public function setServoModelName($servoModelName)
{
$this->servoModelName = $servoModelName;
}
/**
* @return string
*/
public function getServoModelName()
{
return $this->servoModelName;
}
/**
* The name of the trained NL submodel.
*
* @param string $submodelName
*/
public function setSubmodelName($submodelName)
{
$this->submodelName = $submodelName;
}
/**
* @return string
*/
public function getSubmodelName()
{
return $this->submodelName;
}
/**
* The type of trained NL submodel
*
* Accepted values: TEXT_MODEL_TYPE_UNSPECIFIED, TEXT_MODEL_TYPE_DEFAULT,
* TEXT_MODEL_TYPE_META_ARCHITECT, TEXT_MODEL_TYPE_ATC,
* TEXT_MODEL_TYPE_CLARA2, TEXT_MODEL_TYPE_CHATBASE,
* TEXT_MODEL_TYPE_SAFT_SPAN_LABELING, TEXT_MODEL_TYPE_TEXT_EXTRACTION,
* TEXT_MODEL_TYPE_RELATIONSHIP_EXTRACTION, TEXT_MODEL_TYPE_COMPOSITE,
* TEXT_MODEL_TYPE_ALL_MODELS, TEXT_MODEL_TYPE_BERT, TEXT_MODEL_TYPE_ENC_PALM
*
* @param self::SUBMODEL_TYPE_* $submodelType
*/
public function setSubmodelType($submodelType)
{
$this->submodelType = $submodelType;
}
/**
* @return self::SUBMODEL_TYPE_*
*/
public function getSubmodelType()
{
return $this->submodelType;
}
/**
* ## The fields below are only populated under uCAIP request scope.
* https://cloud.google.com/ml-engine/docs/runtime-version-list
*
* @param string $tfRuntimeVersion
*/
public function setTfRuntimeVersion($tfRuntimeVersion)
{
$this->tfRuntimeVersion = $tfRuntimeVersion;
}
/**
* @return string
*/
public function getTfRuntimeVersion()
{
return $this->tfRuntimeVersion;
}
/**
* The servomatic model version number. Populated by uCAIP BE as part of
* online PredictRequest.
*
* @param string $versionNumber
*/
public function setVersionNumber($versionNumber)
{
$this->versionNumber = $versionNumber;
}
/**
* @return string
*/
public function getVersionNumber()
{
return $this->versionNumber;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(XPSTextComponentModel::class, 'Google_Service_CloudNaturalLanguage_XPSTextComponentModel');