Model evaluation metrics for image, text, video and tables
classification. Tables problem is considered a classification
when the target column is CATEGORY DataType.
Model evaluation metrics for translation.
Model evaluation metrics for video object tracking.
Evaluation metrics for text extraction models.
Output only. The ID of the annotation spec that the model
evaluation applies to. The The ID is empty for the overall
model evaluation. For Tables annotation specs in the dataset
do not exist and this ID is always not set, but for
CLASSIFICATION [prediction_type-s][google.cloud.automl.v1bet
a1.TablesModelMetadata.prediction_type] the [display_name][g
oogle.cloud.automl.v1beta1.ModelEvaluation.display_name]
field is used.
Output only. Timestamp when this model evaluation was created.
[[["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 2024-11-19 UTC."],[],[]]
