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* Add multiprocessing Pool and create function for single cutoff forecast * add params to single forecast function * Add iterable for input params for pool * Add docstring for single cutoff forecast func * Add check for multiprocessing in test_cross_validation * check ofr is None and is True and add better description for multiprocess in docstring * Raise error if wrong args chosen and add test * fix conflicts * Change arg to True/False, model.kwargs * docstring units and few more fixes * change to iterator and add back tqdm to for loop * add option in diagnosics notebook about multiprocessing option * add extra test for checking calls to single forecast func |
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| .. | ||
| diagnostics.ipynb | ||
| multiplicative_seasonality.ipynb | ||
| non-daily_data.ipynb | ||
| outliers.ipynb | ||
| quick_start.ipynb | ||
| saturating_forecasts.ipynb | ||
| seasonality,_holiday_effects,_and_regressors.ipynb | ||
| trend_changepoints.ipynb | ||
| uncertainty_intervals.ipynb | ||