How to log AUC score/ custom metrics at every tree? I tried with:
model = tfdf.keras.GradientBoostedTreesModel(num_trees=3000,features=all_features, exclude_non_specified_features=True,
                                    early_stopping_num_trees_look_ahead=30, task=tfdf.keras.Task.CLASSIFICATION,
                                    verbose=True, apply_link_function=False)

model.compile(metrics=tf.keras.metrics.AUC())

Though, when calling model.make_inspector().training_logs(), only loss and accuracy are logged (for classification task).