Add SAP RPT-1 model#149
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SAP RPT-1 is a tabular foundation model applied to time series forecasting via per-item tabular regression with temporal feature engineering (calendar sin/cos + FFT-based seasonal detection). - Uses known dynamic covariates and static features when available - Per-item fit/predict strategy with max_context_size=4096, bagging=2 - Point forecast only (quantiles use point forecast as placeholder)
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Dear Sir and Madam,
I want to add the prediction results from SAP RPT-1 model and see its performance in the leaderboard. RPT-1 is a tabular foundation model applied to time series forecasting via per-item tabular regression with temporal feature engineering.
Approach:
SAP_RPT_OSS_Regressor(max_context_size=4096, bagging=2)Files:
models/sap-rpt-1/model.pymodels/sap-rpt-1/requirements.txtbenchmarks/fev_bench/results/sap-rpt-1.csv(100 tasks)