Google Announces TabFM for Predictive Analytics in BigQuery
Google has introduced TabFM, a pre-trained foundation model for predictive analytics in its BigQuery service. Available in preview, TabFM enables regression and classification on tabular datasets directly within BigQuery using a single SQL query. The model does not require manual training, tuning, or deployment, and Google reports it achieves state-of-the-art accuracy on industry benchmarks. TabFM processes large datasets quickly and automates feature engineering tasks.
- TabFM is pre-trained for classification and regression tasks
- Runs instantly via SQL in BigQuery, no training required
- Automates feature engineering and handles missing data
- Reportedly outperforms traditional ML models on benchmarks
- Available in preview within Google Cloud BigQuery
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