Hi, Everyone
Despite thoroughly reviewing the documentation and exploring the Vertex AI Console, I have encountered difficulties in finding an option to enable Explainable AI during the model training, deployment, or while making online predictions. This feature is crucial for my project as it aids in understanding the model's decision-making process, thereby ensuring transparency and trustworthiness in the model's predictions.
Here are the specific steps I've taken and the challenges I've encountered:
Model Training: While creating a multi-label image classification model on Vertex AI, I looked for options or configurations to enable Explainable AI features but could not find any relevant settings. Model Deployment: Similarly, during the model deployment process, I was unable to locate any settings related to enabling Explainable AI or specifying explanation parameters. Online Predictions: I also attempted to find explanations options when using the model for online predictions but to no avail. Given these challenges, I would greatly appreciate your guidance on the following:
Are there specific steps or configurations required to enable Explainable AI for multi-label image classification models on Vertex AI? If so, could you please provide detailed instructions or point me to the relevant documentation? Are there any prerequisites or limitations I should be aware of when using Explainable AI with multi-label image classification models?
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