ValidationConfig
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Abstract class that defines validation configs.
Inherited Method Summary
From class java.lang.Object
Object
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clone()
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boolean |
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void |
finalize()
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final Class<?>
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getClass()
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int |
hashCode()
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final void |
notify()
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final void |
notifyAll()
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String
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toString()
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final void |
wait(long arg0, int arg1)
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final void |
wait(long arg0)
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final void |
wait()
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Constants
public static final long
DEFAULT_INFERENCE_TIMEOUT_MILLIS
The default test timeout in milli-seconds.
Constant Value: 5000
Public Methods
public long inferenceTimeoutMillis ()
Returns test timeout in milli-seconds.
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Last updated 2023-05-09 UTC.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-05-09 UTC."],[[["`ValidationConfig` is an abstract class used to define configurations for validating TensorFlow Lite models."],["It offers options for custom validation data or using embedded data within the model itself via its subclasses `CustomValidationConfig` and `EmbeddedValidationConfig`."],["The `inferenceTimeoutMillis` method allows setting a timeout for inference during validation, defaulting to 5000 milliseconds."]]],[]]