PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #279
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #279: Real Exam Question with Answer & Explanation
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Question
You want to migrate a scikit-learn classifier model to TensorFlow. You plan to train the TensorFlow classifier model using the same training set that was used to train the scikit-learn model, and then compare the performances using a common test set. You want to use the Vertex AI Python SDK to manually log the evaluation metrics of each model and compare them based on their F1 scores and confusion matrices. How should you log the metrics?
Options
- AUse the aiplatform.log_classification_metrics function to log the F1 score, and use the
- BUse the aiplatform.log_classification_metrics function to log the F1 score and the confusion
- CUse the aiplatform.log_metrics function to log the F1 score and the confusion matrix.
- DUse the aiplatform.log_metrics function to log the F1 score: and use the
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