pyPhenology.models.Unichill¶
-
class
pyPhenology.models.Unichill(parameters={})[source]¶ Two phase forcing model using a sigmoid function for forcing units and chilling. Chuine 2000
- t0 : int
- The DOY which chilling accumulating beings
- C : int, > 0
- The total chilling units required
- F : int, > 0
- The total forcing units required
- b_f : int
- Sigmoid function parameter for forcing
- c_f : int
- Sigmoid function parameter for forcing
- a_c : int
- Sigmoid funcion parameter for chilling
- b_c : int
- Sigmoid funcion parameter for chilling
- c_c : int
- Sigmoid funcion parameter for chilling
Methods
__init__([parameters])fit(observations, temperature[, method, …])Estimate the parameters of a model. get_doy_fitting_estimates(**params)get_error(**kargs)get_initial_bounds()get_params()predict([to_predict, temperature, doy_series])Predict the DOY given temperature data and associated site/year info All model parameters must be set either in the initial model call or by running fit(). save_params(filename)Save the parameters for a model score([metric])