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Vertex AI Explanations with TabNet models
Learn how to provide a sample plotting tool to visualize the output of TabNet, which is helpful in explaining the algorithm.
The steps performed are:
* Setup the project.
* Download the prediction data of pretrain model onf Syn2 data.
* Visualize and understand the feature importance based on the masks output.
* Clean up the resource created by this tutorial.
Learn more about Tabular Workflow for TabNet.
Learn how to run TabNet model on Vertex AI.
The steps performed are:
1. **Setup**: Importing the required libraries and setting your global variables.
2. **Configure parameters**: Setting the appropriate parameter values for the training job.
3. **Train on Vertex AI Training**: Submitting a training job using csv input.
4. **Hyperparameter tuning**: Running a hyperparameter tuning job.
5. **Hyperparameter on Vertex AI Training with BigQuery input**: Submitting a training job using BigQuery input.
6. **Cleaning up**: Deleting resources created by this tutorial.
Learn more about Tabular Workflow for TabNet.