Reference documentation and code samples for the Cloud AutoML V1beta1 Client class TextExtractionModelMetadata.
Model metadata that is specific to text extraction.
Generated from protobuf message google.cloud.automl.v1beta1.TextExtractionModelMetadata
Methods
__construct
Constructor.
Parameters
Name
Description
data
array
Optional. Data for populating the Message object.
↳ model_hint
string
Indicates the scope of model use case. * default: Use to train a general text extraction model. Default value. * health_care: Use to train a text extraction model that is tuned for healthcare applications.
getModelHint
Indicates the scope of model use case.
default: Use to train a general text extraction model. Default value.
health_care: Use to train a text extraction model that is tuned for
healthcare applications.
Returns
Type
Description
string
setModelHint
Indicates the scope of model use case.
default: Use to train a general text extraction model. Default value.
health_care: Use to train a text extraction model that is tuned for
healthcare applications.
[[["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 2024-12-07 UTC."],[],[]]