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Update docstring

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Abdul Fatir 2025-12-08 14:12:26 +00:00
parent c74311fbeb
commit 75a2dfe228
2 changed files with 4 additions and 2 deletions
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src/chronos/base.py
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@ -164,7 +164,8 @@ class BaseChronosPipeline(metaclass=PipelineRegistry):
quantile_levels
Quantile levels to compute
validate_inputs
When True, the dataframe(s) will be validated before prediction
When True, the dataframe(s) will be validated before prediction, ensuring that timestamps have a
regular frequency, and item IDs match between past and future data. Setting to False disables these checks.
**predict_kwargs
Additional arguments passed to predict_quantiles

3
src/chronos/chronos2/pipeline.py
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@ -851,7 +851,8 @@ class Chronos2Pipeline(BaseChronosPipeline):
For optimal results, consider using a batch size around 100 (as used in the Chronos-2 technical report).
- Cross-learning is most helpful when individual time series have limited historical context, as the model can leverage patterns from related series in the batch.
validate_inputs
When True, the dataframe(s) will be validated before prediction
When True, the dataframe(s) will be validated before prediction, ensuring that timestamps have a
regular frequency, and item IDs match between past and future data. Setting to False disables these checks.
**predict_kwargs
Additional arguments passed to predict_quantiles