Output configuration for ExportEvaluatedExamples Action. Note that this call
is available only for 30 days since the moment the model was evaluated.
The output depends on the domain, as follows (note that only examples from
the TEST set are exported):
For Tables:
bigquery_destination
pointing to a BigQuery project must be set. In the given project a
new dataset will be created with name
export_evaluated_examples_<model-display-name><timestamp-of-export-call>
where <model-display-name> will be made BigQuery-dataset-name
compatible (e.g. most special characters will become underscores),
and timestamp will be in YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601"
format. In the dataset an evaluated_examples table will be
created. It will have all the same columns as the
primary_table
of the
dataset from which
the model was created, as they were at the moment of model's
evaluation (this includes the target column with its ground
truth), followed by a column called "predicted<target_column>". That
last column will contain the model's prediction result for each
respective row, given as ARRAY of
AnnotationPayloads,
represented as STRUCT-s, containing
TablesAnnotation.
Protobuf type google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig
[[["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 2025-01-28 UTC."],[],[]]
