bayspar.predict.Prediction

class bayspar.predict.Prediction(temptype, ensemble, latlon=None, prior_mean=None, prior_std=None, modelparam_gridpoints=None, analog_gridpoints=None)

MCMC prediction

Parameters:

ensemble : ndarray

Ensemble of predictions. A 2d array (nxm) for n predictands and m ensemble members.

temptype : str

Type of sea temperature used for prediction.

latlon : tuple or None, optional

Optional tuple of the site location (lat, lon).

prior_mean : float or None, optional

Prior mean used for the prediction.

prior_std : float or None, optional

Prior sample standard deviation used for the prediction.

modelparam_gridpoints : list of tuples or None, optional

A list of one or more (lat, lon) points used to collect spatially-sensitive model parameters.

analog_gridpoints : list of tuples or None, optional

A list of one or more (lat, lon) points used for an analog prediction.

__init__(temptype, ensemble, latlon=None, prior_mean=None, prior_std=None, modelparam_gridpoints=None, analog_gridpoints=None) → None

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(temptype, ensemble[, latlon, …])	Initialize self.
percentile([q, interpolation])	Compute the qth ranked percentile from ensemble members.