str
The fully qualified resource name of the candidate in its
source system, if applicable. E.g. for BigQuery tables, the
format is:
bigquery.googleapis.com/projects/{project_id}/datasets/{dataset_id}/tables/{table_id}.
icl_string
str
In-context-learning string. For example,
could be in DDL format.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07 UTC."],[],[],null,["# Class TableCandidate (0.2.0)\n\nVersion latestkeyboard_arrow_down\n\n- [0.2.0 (latest)](/python/docs/reference/google-cloud-geminidataanalytics/latest/google.cloud.geminidataanalytics_v1beta.types.TableCandidate)\n- [0.1.0](/python/docs/reference/google-cloud-geminidataanalytics/0.1.0/google.cloud.geminidataanalytics_v1beta.types.TableCandidate) \n\n TableCandidate(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nA retrieved BigQuery table candidate.\n\nClasses\n-------\n\n### FieldSuggestion\n\n FieldSuggestion(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nA suggested description for a field."]]
