Table of Contents

Class: CCAANALOG analog.py

Analog search in the CCA space

Base Classes   
__ANALOG
Methods   
__init__
getCoords
  __init__ 
__init__ (
        self,
        dataset,
        theotherdataset,
        neofs=None,
        spherized=1,
        )

Constructor for a CCA-space search

Arguments:

dataset
NumPy array with the library dataset (time is first dimension)
theotherdataset
Another array with the complementary field. This is actually the target field to be reconstructed.
neofs
Tuple with the number of EOFs to retain in each field in the PCA prefilter for the CCA. This sets the degrees of freedom of the search space (these are the minimum of this tuple). Defaults to the number of EOFs accounting for a 70% of the total variance in each field. spherized -- Bit indicating if the search in performed in an spherized space (1) or an inverse correlation scaled one (0). Default: 1
  getCoords 
getCoords ( self,  field )

Returns the coordinates of field in the CCA space

Exceptions   
pex.ANALOGNoMatchingShape( field.shape, self.originalshape )

Table of Contents

This document was automatically generated on Mon Dec 9 15:58:37 2002 by HappyDoc version 2.1