New Advanced Model Variants

New

• New model=advanced-patched variant: a patch-based advanced model that delivers advanced-level accuracy with response times comparable to the standard model — making advanced forecasting viable for real-time use. Billed at the same rate as other advanced models.
• New model=advanced-quantized value: the new canonical name for our existing advanced model. The model=advanced value is kept for backwards-compatibility reasons and behaves identically.
• The ensemble model now combines the standard model and both advanced variants into a single forecast for even better outlier smoothing.
• New selection_metric field lets you control which back-testing error metric decides the winning model: auto (default — unchanged behavior), combined (0.6·MASE + 0.4·sMAPE, balances accuracy and trend), mase, or smape. The metric actually used is echoed at meta.selection_metric, with per-model scores under model_info.selection_scores. Applies to the standard model; the advanced variants honor mase / smape where supported.

Improved

• Ensemble requests now run all underlying models concurrently instead of sequentially, significantly reducing response times.
• Forecasts built from shorter histories now do a better job following a clear upward or downward trend, instead of sometimes settling into a flat line.
• The playground's "Why this forecast?" panel now ranks models by the exact score used to pick the winner, so the highlighted model is always the best one.

Fixed

• Fixed the playground occasionally leaving out your most recent data point and starting the forecast one period too early.