Google Research 推出了 TabFM，一个专为表格数据设计的新型基础模型，该模型无需数据集特定的训练即可执行分类和回归任务。该模型利用混合注意力架构，结合了行和列注意力机制，并利用上下文学习在单次前向传播中进行预测。TabFM 使用数亿个合成数据集进行了大规模训练，现已在 Hugging Face 和 GitHub 等平台上提供。 AI
影响 该模型通过消除表格数据任务中对数据集特定训练和特征工程的需求，可以显著简化数据科学工作流程。
排序理由 Google Research 推出了一个用于表格数据的新基础模型。
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<p>Google Research has released TabFM, a foundation model for tabular data. It performs zero-shot classification and regression through in-context learning. Predictions come from a single forward pass, with no per-dataset training, hyperparameter tuning, or feature engineering.</…
Google Research has launched TabFM, a foundation model for tabular data that performs zero-shot classification and regression through in-context learning. Predictions come from a single forward pass with no per-dataset training or feature engineering. The architecture combines ro…
From # Google # Research : "Introducing # TabFM : A zero-shot # foundation # model for tabular # data " https:// research.google/blog/introduci ng-tabfm-a-zero-shot-foundation-model-for-tabular-data/ ... TabFM, a foundation model designed specifically for tabular data # classific…
TabFM: A zero-shot foundation model for tabular data https:// research.google/blog/introduci ng-tabfm-a-zero-shot-foundation-model-for-tabular-data/ # HackerNews # TabFM # zero -shot # foundation # model # tabular # data # machine # learning # AI