pyPhenology.models.Model.predict

Model.predict(to_predict=None, predictors=None, **kwargs)

Make predictions

Predict the DOY given predictor data and associated site/year info. All model parameters must be set either in the initial model call or by running fit(). If to_predict and predictors are not set, then this will return predictions for the data used in fitting (if available)

Parameters:

to_predict : dataframe, optional

pandas dataframe of site/year combinations to predict from the given predictor data. just like the observations dataframe used in fit() but (optionally) without the doy column

predictors : dataframe, optional

pandas dataframe in the format specific to this package

Returns:

predictions : array

1D array the same length of to_predict. Or if to_predict is not used, the same length as observations used in fitting.