AI Explanations: Receive a score explaining how much each factor contributed to the model predictions in AutoML Tables, inside your Notebook, or via Vertex AI Prediction API. Read the score explanation documentation.
What-If Tool: Investigate model performances for a range of features in your dataset, optimization strategies, and even manipulations to individual datapoint values using the What-If Tool integrated with Vertex AI.
Continuous evaluation: Sample the prediction from trained machine learning models deployed to Vertex AI. Provide ground truth labels for prediction inputs using the continuous evaluation capability. Data Labeling Service compares model predictions with ground truth labels to help you improve model performance.