Class: Google::Apis::DiscoveryengineV1::GoogleCloudDiscoveryengineV1TrainCustomModelRequestGcsTrainingInput

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/discoveryengine_v1/classes.rb,
lib/google/apis/discoveryengine_v1/representations.rb,
lib/google/apis/discoveryengine_v1/representations.rb

Overview

Cloud Storage training data input.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudDiscoveryengineV1TrainCustomModelRequestGcsTrainingInput

Returns a new instance of GoogleCloudDiscoveryengineV1TrainCustomModelRequestGcsTrainingInput.



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# File 'lib/google/apis/discoveryengine_v1/classes.rb', line 9027

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#corpus_data_path ⇒ String

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" Corresponds to the JSON property corpusDataPath

Returns:

  • (String) 


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# File 'lib/google/apis/discoveryengine_v1/classes.rb', line 9001

def corpus_data_path
  @corpus_data_path
end

#query_data_path ⇒ String

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" Corresponds to the JSON property queryDataPath

Returns:

  • (String) 


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# File 'lib/google/apis/discoveryengine_v1/classes.rb', line 9009

def query_data_path
  @query_data_path
end

#test_data_path ⇒ String

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. Corresponds to the JSON property testDataPath

Returns:

  • (String) 


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# File 'lib/google/apis/discoveryengine_v1/classes.rb', line 9015

def test_data_path
  @test_data_path
end

#train_data_path ⇒ String

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 Corresponds to the JSON property trainDataPath

Returns:

  • (String) 


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# File 'lib/google/apis/discoveryengine_v1/classes.rb', line 9025

def train_data_path
  @train_data_path
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/discoveryengine_v1/classes.rb', line 9032

def update!(**args)
  @corpus_data_path = args[:corpus_data_path] if args.key?(:corpus_data_path)
  @query_data_path = args[:query_data_path] if args.key?(:query_data_path)
  @test_data_path = args[:test_data_path] if args.key?(:test_data_path)
  @train_data_path = args[:train_data_path] if args.key?(:train_data_path)
end