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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07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 prediction requests to the \u003ccode\u003ePredictionService\u003c/code\u003e in Google Cloud's AutoML V1 API, which is part of the \u003ccode\u003eGoogle.Cloud.AutoML.V1\u003c/code\u003e namespace, and is contained in the \u003ccode\u003eGoogle.Cloud.AutoML.V1.dll\u003c/code\u003e assembly.\u003c/p\u003e\n"],["\u003cp\u003eThis class, \u003ccode\u003ePredictRequest\u003c/code\u003e, requires you to set a \u003ccode\u003eName\u003c/code\u003e property (string) that identifies the model being requested and also requires a \u003ccode\u003ePayload\u003c/code\u003e property that is of type \u003ccode\u003eExamplePayload\u003c/code\u003e, as well as being compatible with the problem the model was trained to solve.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003ePredictRequest\u003c/code\u003e also allows for optional, domain-specific parameters to be set in the \u003ccode\u003eParams\u003c/code\u003e property, which is a \u003ccode\u003eMapField\u003c/code\u003e that provides more specific controls over the prediction, such as score thresholds or feature importance.\u003c/p\u003e\n"],["\u003cp\u003eThis class inherits from the base \u003ccode\u003eObject\u003c/code\u003e class, while also implementing \u003ccode\u003eIMessage<PredictRequest>\u003c/code\u003e, \u003ccode\u003eIEquatable<PredictRequest>\u003c/code\u003e, \u003ccode\u003eIDeepCloneable<PredictRequest>\u003c/code\u003e, \u003ccode\u003eIBufferMessage\u003c/code\u003e, and \u003ccode\u003eIMessage\u003c/code\u003e interfaces, therefore it has all the features of those interface's methods.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003ePredictRequest\u003c/code\u003e class is documented across multiple versions, ranging from version 2.2.0 up to the latest version 3.4.0, so the different versions can also be accessed through the documentation.\u003c/p\u003e\n"]]],[],null,[]]
