File "GoogleCloudDiscoveryengineV1TrainCustomModelRequestGcsTrainingInput.php"
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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\DiscoveryEngine;
class GoogleCloudDiscoveryengineV1TrainCustomModelRequestGcsTrainingInput extends \Google\Model
{
/**
* The Cloud Storage corpus data which could be associated in train data. The
* data path format is `gs:`. A newline delimited jsonl/ndjson file. For
* search-tuning model, each line should have the _id, title and text.
* Example: `{"_id": "doc1", title: "relevant doc", "text": "relevant text"}`
*
* @var string
*/
public $corpusDataPath;
/**
* The gcs query data which could be associated in train data. The data path
* format is `gs:`. A newline delimited jsonl/ndjson file. For search-tuning
* model, each line should have the _id and text. Example: {"_id": "query1",
* "text": "example query"}
*
* @var string
*/
public $queryDataPath;
/**
* Cloud Storage test data. Same format as train_data_path. If not provided, a
* random 80/20 train/test split will be performed on train_data_path.
*
* @var string
*/
public $testDataPath;
/**
* Cloud Storage training data path whose format should be `gs:`. The file
* should be in tsv format. Each line should have the doc_id and query_id and
* score (number). For search-tuning model, it should have the query-id
* corpus-id score as tsv file header. The score should be a number in `[0,
* inf+)`. The larger the number is, the more relevant the pair is. Example: *
* `query-id\tcorpus-id\tscore` * `query1\tdoc1\t1`
*
* @var string
*/
public $trainDataPath;
/**
* The Cloud Storage corpus data which could be associated in train data. The
* data path format is `gs:`. A newline delimited jsonl/ndjson file. For
* search-tuning model, each line should have the _id, title and text.
* Example: `{"_id": "doc1", title: "relevant doc", "text": "relevant text"}`
*
* @param string $corpusDataPath
*/
public function setCorpusDataPath($corpusDataPath)
{
$this->corpusDataPath = $corpusDataPath;
}
/**
* @return string
*/
public function getCorpusDataPath()
{
return $this->corpusDataPath;
}
/**
* The gcs query data which could be associated in train data. The data path
* format is `gs:`. A newline delimited jsonl/ndjson file. For search-tuning
* model, each line should have the _id and text. Example: {"_id": "query1",
* "text": "example query"}
*
* @param string $queryDataPath
*/
public function setQueryDataPath($queryDataPath)
{
$this->queryDataPath = $queryDataPath;
}
/**
* @return string
*/
public function getQueryDataPath()
{
return $this->queryDataPath;
}
/**
* Cloud Storage test data. Same format as train_data_path. If not provided, a
* random 80/20 train/test split will be performed on train_data_path.
*
* @param string $testDataPath
*/
public function setTestDataPath($testDataPath)
{
$this->testDataPath = $testDataPath;
}
/**
* @return string
*/
public function getTestDataPath()
{
return $this->testDataPath;
}
/**
* Cloud Storage training data path whose format should be `gs:`. The file
* should be in tsv format. Each line should have the doc_id and query_id and
* score (number). For search-tuning model, it should have the query-id
* corpus-id score as tsv file header. The score should be a number in `[0,
* inf+)`. The larger the number is, the more relevant the pair is. Example: *
* `query-id\tcorpus-id\tscore` * `query1\tdoc1\t1`
*
* @param string $trainDataPath
*/
public function setTrainDataPath($trainDataPath)
{
$this->trainDataPath = $trainDataPath;
}
/**
* @return string
*/
public function getTrainDataPath()
{
return $this->trainDataPath;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudDiscoveryengineV1TrainCustomModelRequestGcsTrainingInput::class, 'Google_Service_DiscoveryEngine_GoogleCloudDiscoveryengineV1TrainCustomModelRequestGcsTrainingInput');