Describe the bug
when i run python benchmark_forecast.py --model ets --retrain_type sliding_window_retrain --n_retrain 4
retrain seems didnt work. the model is only trained once.
i think that there is sometion wrong with the ForecastEvaluatorConfig.cadence, it is set to be the horizon, which is the lenth of the test_set, not the retrain_freq, so when one loop is done, t adding to the cadence larger then tf, the train procedure is over.
Describe the bug when i run python benchmark_forecast.py --model ets --retrain_type sliding_window_retrain --n_retrain 4 retrain seems didnt work. the model is only trained once.
i think that there is sometion wrong with the ForecastEvaluatorConfig.cadence, it is set to be the horizon, which is the lenth of the test_set, not the retrain_freq, so when one loop is done, t adding to the cadence larger then tf, the train procedure is over.