360f6e8aee7989b7e649c21883026612964b9cf7,ludwig/models/model.py,Model,batch_evaluation,#Model#Any#Any#Any#Any#Any#Any#Any#Any#Any#,983

Before Change

            only_predictions
        )

        if "combined" in output_stats and LOSS in output_stats["combined"]:
            regularization = session.run(
                [self.regularization_loss],
                feed_dict={self.regularization_lambda: regularization_lambda}
            )[0]
            output_stats["combined"][LOSS] += regularization

        // todo: tf2 debugging
        fake_stats = OrderedDict(
            [("y", OrderedDict([("loss", [9489.847173455057]),
                                ("mean_squared_error", [9489.847173455057]),
                                ("mean_absolute_error", [76.44962405086903]),

After Change

        // todo: tf2 debugging
        template = f"Dataset {name}:"
        for measure, measure_fn in output_feature.measure_functions.items():
            if measure_fn is not None:  // todo tf2 test is needed only during development
                template += f" {measure}: {measure_fn.result()}"

        print(template)

        fake_stats = OrderedDict(
            [("y", OrderedDict([("loss", [9489.847173455057]),

Instances