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You intend to migrate a scikit-learn classifier model to TensorFlow, planning to train the TensorFlow model using the same training set as the scikit-learn model. Subsequently, you aim to compare their performances using a common test set, logging the evaluation metrics of each model manually using the Vertex AI Python SDK, and comparing them based on their F1 scores and confusion matrices. How should you log the metrics?