FEAT Forecasting: batch large datasets in BaseTSFMSolver.forecast#48
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felixdivo wants to merge 2 commits into
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FEAT Forecasting: batch large datasets in BaseTSFMSolver.forecast#48felixdivo wants to merge 2 commits into
felixdivo wants to merge 2 commits into
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Split the flattened (series, cutoff) windows into chunks of inference_batch_size before calling forecast_batch, instead of sending the whole dataset as one oversized batch. Reconstruction is unchanged since the per-batch outputs stay aligned with the flat input list. Closes benchopt#43 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Closes #43
BaseTSFMSolver.forecast()flattened every(series, cutoff)window into onelist and sent it to
forecast_batchas a single oversized batch, which can blowup memory on large datasets.
This splits the windows into chunks of a new
inference_batch_sizeattribute(default 128, set in
__init__so subclasses can override it) and callsforecast_batchper chunk. Output ordering is preserved, so reconstruction isunchanged.