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Copy file name to clipboardExpand all lines: docs/dyn/bigquery_v2.models.html
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"maxBatchingRows": "A String", # Output only. Max number of rows in each batch sent to the remote service. If unset, the number of rows in each batch is set dynamically.
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"remoteModelVersion": "A String", # Output only. The model version for LLM.
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"remoteServiceType": "A String", # Output only. The remote service type for remote model.
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"speechRecognizer": "A String", # Output only. The name of the speech recognizer to use for speech recognition. The expected format is `projects/{project}/locations/{location}/recognizers/{recognizer}`. Customers can specify this field at model creation. If not specified, a default recognizer `projects/{model project}/locations/global/recognizers/_` will be used. See more details at [recognizers](https://cloud.google.com/speech-to-text/v2/docs/reference/rest/v2/projects.locations.recognizers)
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},
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"trainingRuns": [ # Information for all training runs in increasing order of start_time.
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{ # Information about a single training query run for the model.
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"maxBatchingRows": "A String", # Output only. Max number of rows in each batch sent to the remote service. If unset, the number of rows in each batch is set dynamically.
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"remoteModelVersion": "A String", # Output only. The model version for LLM.
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"remoteServiceType": "A String", # Output only. The remote service type for remote model.
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"speechRecognizer": "A String", # Output only. The name of the speech recognizer to use for speech recognition. The expected format is `projects/{project}/locations/{location}/recognizers/{recognizer}`. Customers can specify this field at model creation. If not specified, a default recognizer `projects/{model project}/locations/global/recognizers/_` will be used. See more details at [recognizers](https://cloud.google.com/speech-to-text/v2/docs/reference/rest/v2/projects.locations.recognizers)
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},
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"trainingRuns": [ # Information for all training runs in increasing order of start_time.
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{ # Information about a single training query run for the model.
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"maxBatchingRows": "A String", # Output only. Max number of rows in each batch sent to the remote service. If unset, the number of rows in each batch is set dynamically.
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"remoteModelVersion": "A String", # Output only. The model version for LLM.
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"remoteServiceType": "A String", # Output only. The remote service type for remote model.
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"speechRecognizer": "A String", # Output only. The name of the speech recognizer to use for speech recognition. The expected format is `projects/{project}/locations/{location}/recognizers/{recognizer}`. Customers can specify this field at model creation. If not specified, a default recognizer `projects/{model project}/locations/global/recognizers/_` will be used. See more details at [recognizers](https://cloud.google.com/speech-to-text/v2/docs/reference/rest/v2/projects.locations.recognizers)
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},
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"trainingRuns": [ # Information for all training runs in increasing order of start_time.
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{ # Information about a single training query run for the model.
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"maxBatchingRows": "A String", # Output only. Max number of rows in each batch sent to the remote service. If unset, the number of rows in each batch is set dynamically.
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"remoteModelVersion": "A String", # Output only. The model version for LLM.
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"remoteServiceType": "A String", # Output only. The remote service type for remote model.
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"speechRecognizer": "A String", # Output only. The name of the speech recognizer to use for speech recognition. The expected format is `projects/{project}/locations/{location}/recognizers/{recognizer}`. Customers can specify this field at model creation. If not specified, a default recognizer `projects/{model project}/locations/global/recognizers/_` will be used. See more details at [recognizers](https://cloud.google.com/speech-to-text/v2/docs/reference/rest/v2/projects.locations.recognizers)
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},
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"trainingRuns": [ # Information for all training runs in increasing order of start_time.
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{ # Information about a single training query run for the model.
Copy file name to clipboardExpand all lines: googleapiclient/discovery_cache/documents/bigquery.v2.json
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}
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}
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},
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"revision": "20231021",
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"revision": "20231202",
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"rootUrl": "https://bigquery.googleapis.com/",
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"schemas": {
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"AggregateClassificationMetrics": {
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"REMOTE_SERVICE_TYPE_UNSPECIFIED",
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"CLOUD_AI_TRANSLATE_V3",
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"CLOUD_AI_VISION_V1",
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"CLOUD_AI_NATURAL_LANGUAGE_V1"
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"CLOUD_AI_NATURAL_LANGUAGE_V1",
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"CLOUD_AI_SPEECH_TO_TEXT_V2"
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],
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"enumDescriptions": [
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"Unspecified remote service type.",
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"V3 Cloud AI Translation API. See more details at [Cloud Translation API] (https://cloud.google.com/translate/docs/reference/rest).",
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"V1 Cloud AI Vision API See more details at [Cloud Vision API] (https://cloud.google.com/vision/docs/reference/rest).",
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"V1 Cloud AI Natural Language API. See more details at [REST Resource: documents](https://cloud.google.com/natural-language/docs/reference/rest/v1/documents)."
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"V1 Cloud AI Natural Language API. See more details at [REST Resource: documents](https://cloud.google.com/natural-language/docs/reference/rest/v1/documents).",
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"V2 Speech-to-Text API. See more details at [Google Cloud Speech-to-Text V2 API](https://cloud.google.com/speech-to-text/v2/docs)"
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],
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"readOnly": true,
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"type": "string"
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},
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"speechRecognizer": {
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"description": "Output only. The name of the speech recognizer to use for speech recognition. The expected format is `projects/{project}/locations/{location}/recognizers/{recognizer}`. Customers can specify this field at model creation. If not specified, a default recognizer `projects/{model project}/locations/global/recognizers/_` will be used. See more details at [recognizers](https://cloud.google.com/speech-to-text/v2/docs/reference/rest/v2/projects.locations.recognizers)",
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"readOnly": true,
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"type": "string"
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}
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},
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"type": "object"
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},
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"type": "object"
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},
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"VectorSearchStatistics": {
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"description": "Statistics for a vector search query. Populated as part of JobStatistics2.",
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"id": "VectorSearchStatistics",
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"properties": {
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"indexUnusedReasons": {
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"description": "When `indexUsageMode` is `UNUSED` or `PARTIALLY_USED`, this field explains why indexes were not used in all or part of the vector search query. If `indexUsageMode` is `FULLY_USED`, this field is not populated.",
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"items": {
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"$ref": "IndexUnusedReason"
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},
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"type": "array"
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},
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"indexUsageMode": {
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"description": "Specifies the index usage mode for the query.",
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"enum": [
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"INDEX_USAGE_MODE_UNSPECIFIED",
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"UNUSED",
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"PARTIALLY_USED",
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"FULLY_USED"
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],
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"enumDescriptions": [
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"Index usage mode not specified.",
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"No vector indexes were used in the vector search query. See [`indexUnusedReasons`] (/bigquery/docs/reference/rest/v2/Job#IndexUnusedReason) for detailed reasons.",
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"Part of the vector search query used vector indexes. See [`indexUnusedReasons`] (/bigquery/docs/reference/rest/v2/Job#IndexUnusedReason) for why other parts of the query did not use vector indexes.",
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"The entire vector search query used vector indexes."
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