FEAT: Forecasting: In case of large datasets, we should split them into multiple datasets before calling Solver::forecast_batch. Currently, we run it as a single batch across all horizons, etc.
Originally posted by @felixdivo in #28 (comment) (party done in https://github.com/benchopt/benchmark_tsfm/pull/28/changes#diff-6ce9d6e052e78db56082c33802879a95801b995c6893007621a1897a54354b98R84)
FEAT: Forecasting: In case of large datasets, we should split them into multiple datasets before calling
Solver::forecast_batch. Currently, we run it as a single batch across all horizons, etc.Originally posted by @felixdivo in #28 (comment) (party done in https://github.com/benchopt/benchmark_tsfm/pull/28/changes#diff-6ce9d6e052e78db56082c33802879a95801b995c6893007621a1897a54354b98R84)