Errors

• 원본 링크 : https://keras.io/api/keras_tuner/errors/
• 최종 확인 : 2024-11-25

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FailedTrialError class

keras_tuner.errors.FailedTrialError()

Raise this error to mark a Trial as failed.

When this error is raised in a Trial, the Tuner would not retry the Trial but directly mark it as "FAILED".

Example

class MyHyperModel(keras_tuner.HyperModel):
    def build(self, hp):
        # Build the model
        ...
        if too_slow(model):
            # Mark the Trial as "FAILED" if the model is too slow.
            raise keras_tuner.FailedTrialError("Model is too slow.")
        return model

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FatalError class

keras_tuner.errors.FatalError()

A fatal error during search to terminate the program.

It is used to terminate the KerasTuner program for errors that need users immediate attention. When this error is raised in a Trial, it will not be caught by KerasTuner.

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FatalValueError class

keras_tuner.errors.FatalValueError()

A fatal error during search to terminate the program.

It is a subclass of FatalError and ValueError.

It is used to terminate the KerasTuner program for errors that need users immediate attention. When this error is raised in a Trial, it will not be caught by KerasTuner.

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FatalTypeError class

keras_tuner.errors.FatalTypeError()

A fatal error during search to terminate the program.

It is a subclass of FatalError and TypeError.

It is used to terminate the KerasTuner program for errors that need users immediate attention. When this error is raised in a Trial, it will not be caught by KerasTuner.

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FatalRuntimeError class

keras_tuner.errors.FatalRuntimeError()

A fatal error during search to terminate the program.

It is a subclass of FatalError and RuntimeError.

It is used to terminate the KerasTuner program for errors that need users immediate attention. When this error is raised in a Trial, it will not be caught by KerasTuner.