Describes an evaluation between a machine learning model’s predictions
and ground truth labels. Created when an
EvaluationJob runs
successfully.
Output only. Options used in the evaluation job that created
this evaluation.
Output only. Timestamp for when this evaluation was created.
Output only. Type of task that the model version being
evaluated performs, as defined in the [evaluationJobConfig.in
putConfig.annotationType][google.cloud.datalabeling.v1beta1.Ev
aluationJobConfig.input_config] field of the evaluation job
that created this evaluation.
[[["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 2024-12-19 UTC."],[],[]]