import tensorflow_model_analysis as tfma

eval_config = tfma.EvalConfig(
    slicing_specs=[tfma.SlicingSpec()],
    metrics_specs=[
        tfma.MetricsSpec(
            metrics=[
                tfma.MetricConfig(class_name='SparseCategoricalAccuracy')
            ]
        )
    ]
)

evaluator = Evaluator(
    examples=example_gen.outputs['examples'],
    model=trainer.outputs['model'],
    eval_config=eval_config
)

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