Additional domain-specific parameters, any string must be up to 25000
characters long.
AutoML Vision Classification
score_threshold
: (float) A value from 0.0 to 1.0. When the model
makes predictions for an image, it will only produce results that have
at least this confidence score. The default is 0.5.
AutoML Vision Object Detection
score_threshold
: (float) When Model detects objects on the image,
it will only produce bounding boxes which have at least this
confidence score. Value in 0 to 1 range, default is 0.5.
max_bounding_box_count
: (int64) The maximum number of bounding
boxes returned. The default is 100. The
number of returned bounding boxes might be limited by the server.
AutoML Tables
feature_importance
: (boolean) Whether
[feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance]
is populated in the returned list of
[TablesAnnotation][google.cloud.automl.v1.TablesAnnotation]
objects. The default is false.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07 UTC."],[[["\u003cp\u003eThe \u003ccode\u003ePredictRequest\u003c/code\u003e class is used to send requests to the \u003ccode\u003ePredictionService.Predict\u003c/code\u003e method within the Google Cloud AutoML V1 library.\u003c/p\u003e\n"],["\u003cp\u003eThis class implements several interfaces including \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e, which allow for message handling, comparison, cloning, and buffer operations, respectively.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003ePredictRequest\u003c/code\u003e class contains properties such as \u003ccode\u003eName\u003c/code\u003e, \u003ccode\u003eModelName\u003c/code\u003e, \u003ccode\u003ePayload\u003c/code\u003e, and \u003ccode\u003eParams\u003c/code\u003e, which are essential for specifying the model, the data to be predicted, and any additional parameters.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eParams\u003c/code\u003e property is a map that allows you to set domain-specific parameters, such as \u003ccode\u003escore_threshold\u003c/code\u003e, \u003ccode\u003emax_bounding_box_count\u003c/code\u003e, and \u003ccode\u003efeature_importance\u003c/code\u003e, which vary depending on the AutoML task.\u003c/p\u003e\n"],["\u003cp\u003eThe latest available version of the documentation for the \u003ccode\u003ePredictRequest\u003c/code\u003e is version 3.4.0, with previous versions such as 3.3.0, 3.2.0, 3.1.0, 3.0.0, 2.6.0, 2.5.0, 2.4.0, 2.3.0, and 2.2.0 also accessible.\u003c/p\u003e\n"]]],[],null,[]]
