pyPhenology.models.Linear

class pyPhenology.models.Linear(parameters={})

A linear regression where DOY ~ mean_spring_tempearture

intercept : int | float

y intercept of the model

slope : int | float

Slope of the model

spring_start : int

The start day of spring, defaults to Jan 1 (DOY 0)

spring_end : int

The last day of spring, defaults to March 30 (DOY 90)

__init__(parameters={})

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])