{"record":{"id":"6c34ddb813979df8","repo":"keras-team/keras","slug":"arguments-not-recognized-kwargs","errorCode":null,"errorMessage":"Arguments not recognized: {kwargs}","messagePattern":"Arguments not recognized: (.+?)","errorType":"validation","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"keras/src/backend/jax/trainer.py","lineNumber":566,"sourceCode":"\n    @traceback_utils.filter_traceback\n    def evaluate(\n        self,\n        x=None,\n        y=None,\n        batch_size=None,\n        verbose=\"auto\",\n        sample_weight=None,\n        steps=None,\n        callbacks=None,\n        return_dict=False,\n        **kwargs,\n    ):\n        self._assert_compile_called(\"evaluate\")\n        # TODO: respect compiled trainable state\n        use_cached_eval_dataset = kwargs.pop(\"_use_cached_eval_dataset\", False)\n        if kwargs:\n            raise ValueError(f\"Arguments not recognized: {kwargs}\")\n\n        if use_cached_eval_dataset:\n            epoch_iterator = self._eval_epoch_iterator\n        else:\n            # Create an iterator that yields batches of\n            # input/target data.\n            epoch_iterator = JAXEpochIterator(\n                x=x,\n                y=y,\n                sample_weight=sample_weight,\n                batch_size=batch_size,\n                steps_per_epoch=steps,\n                shuffle=False,\n                steps_per_execution=self.steps_per_execution,\n            )\n\n        self._symbolic_build(iterator=epoch_iterator)\n        epoch_iterator.reset()","sourceCodeStart":548,"sourceCodeEnd":584,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/backend/jax/trainer.py#L548-L584","documentation":"Error \"Arguments not recognized: {kwargs}\" thrown in keras-team/keras.","triggerScenarios":"Thrown at keras/src/backend/jax/trainer.py:566 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":[],"exampleFix":null,"handlingStrategy":null,"validationCode":null,"typeGuard":null,"tryCatchPattern":null,"preventionTips":[],"tags":[],"backgroundTag":null,"analyzedSha":"7a34a03db60bf60042242d6a556fc3be119046a5","analyzedAt":"2026-08-25T21:25:25.994Z","schemaVersion":2},"datasetVersion":"2026-08-26T02:17:13.382Z"}