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| TabTransformer | |
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| `TabTransformer <https://arxiv.org/abs/2012.06678>`__ is a novel deep tabular data modeling architecture for supervised learning. The TabTransformer architecture is built on self-attention-based Transformers. | |
| The Transformer layers transform the embeddings of categorical features into robust contextual embeddings to achieve higher prediction accuracy. Furthermore, the contextual embeddings learned from TabTransformer | |
| are highly robust against both missing and noisy data features, and provide better interpretability. | |
| The following table outlines a variety of sample notebooks that address different use cases of Amazon SageMaker TabTransformer algorithm. | |
| .. list-table:: | |
| :widths: 25 25 | |
| :header-rows: 1 | |
| * - Notebook Title | |
| - Description | |
| * - `Tabular classification with Amazon SageMaker TabTransformer algorithm <https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/tabtransformer_tabular/Amazon_Tabular_Classification_TabTransformer.ipynb>`__ | |
| - This notebook demonstrates the use of the Amazon SageMaker TabTransformer algorithm to train and host a tabular classification model. | |
| * - `Tabular regression with Amazon SageMaker TabTransformer algorithm <https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/tabtransformer_tabular/Amazon_Tabular_Regression_TabTransformer.ipynb>`__ | |
| - This notebook demonstrates the use of the Amazon SageMaker TabTransformer algorithm to train and host a tabular regression model. | |
| For instructions on how to create and access Jupyter notebook instances that you can use to run the example in SageMaker, see | |
| `Use Amazon SageMaker Notebook Instances <https://docs.aws.amazon.com/sagemaker/latest/dg/nbi.html>`__. After you have created a notebook | |
| instance and opened it, choose the SageMaker Examples tab to see a list of all of the SageMaker samples. To open a notebook, choose its | |
| Use tab and choose Create copy. | |
| For detailed documentation, please refer to the `Sagemaker TabTransformer Algorithm <https://docs.aws.amazon.com/sagemaker/latest/dg/tabtransformer.html>`__. | |