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Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment).

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The docstring of judgyprophet.fit() states that the dict array fed into 'trend_events' argument only needs three values per dict: ``` :param trend_events: A list of dictionaries. Each dict should have...

The docstring for judgyprophet.fit() states: ``` :param actuals: A pandas series of the actual timeseries to forecast. It is assumed there are no missing data points, i.e. x[1] is the...