TimesFM: Forecasting Made Easy with Google's Foundation Model
Code: https://github.com/KannamSridharKumar...
Google blog: https://research.google/blog/a-decode...
Dataset: https://www.kaggle.com/datasets/shenb...
Summary:
Google's foundation model for time series forecasting uses an auto-regressive approach similar to large language models, allowing fine-tuning on custom datasets.
Performance comparison: The model shows impressive results on various benchmarks, outperforming current state of the art models.
Keywords:
Foundation model
Time series forecasting
Auto-regressive
Google Research
Fine-tuning
Hugging Face
Covariates
Forecast horizon
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