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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07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 latest version available for the \u003ccode\u003ePredictRequest\u003c/code\u003e class is 3.4.0, while the current page details version 2.6.0, which is a request message used for the \u003ccode\u003ePredictionService.Predict\u003c/code\u003e method.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003ePredictRequest\u003c/code\u003e class, defined in the \u003ccode\u003eGoogle.Cloud.AutoML.V1\u003c/code\u003e namespace, is used to send a request for prediction and is an implementation of multiple interfaces, including \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003ePredictRequest\u003c/code\u003e has properties such as \u003ccode\u003eModelName\u003c/code\u003e, \u003ccode\u003eName\u003c/code\u003e, \u003ccode\u003eParams\u003c/code\u003e, and \u003ccode\u003ePayload\u003c/code\u003e, which are used to specify the model, parameters, and the data payload for making a prediction request.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eParams\u003c/code\u003e property allows for setting domain-specific parameters, such as \u003ccode\u003escore_threshold\u003c/code\u003e and \u003ccode\u003emax_bounding_box_count\u003c/code\u003e for vision tasks, or \u003ccode\u003efeature_importance\u003c/code\u003e for AutoML tables.\u003c/p\u003e\n"],["\u003cp\u003eTwo constructors are available: a default constructor \u003ccode\u003ePredictRequest()\u003c/code\u003e and an overloaded constructor \u003ccode\u003ePredictRequest(PredictRequest other)\u003c/code\u003e that makes a copy of an existing \u003ccode\u003ePredictRequest\u003c/code\u003e object.\u003c/p\u003e\n"]]],[],null,[]]
