[[["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 2025-03-21 UTC."],[[["This webpage provides documentation for the `PredictionServiceLimitedErrorCountRetryPolicy` class in the Google Cloud C++ client library for AutoML, with links to various versioned documentation."],["The `PredictionServiceLimitedErrorCountRetryPolicy` class defines a retry policy for `PredictionServiceConnection` that limits retries based on the number of transient errors encountered during RPC calls."],["Transient errors are identified by the `kUnavailable` status code, and the retry policy will cease if a non-transient error occurs or the maximum number of transient failures is exceeded."],["You can adjust the maximum number of transient failures allowed via the `PredictionServiceLimitedErrorCountRetryPolicy(int)` constructor, and you can effectively disable the retry loop by setting `maximum_failures` to 0."],["The documentation provides details on the class's constructors, functions (`maximum_failures`, `OnFailure`, `IsExhausted`, `IsPermanentFailure`, `clone`), and a type alias (`BaseType`) for developers working with this retry policy."]]],[]]
