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Full Discussion: Virtualization: WPAR vs LPAR
Operating Systems AIX Virtualization: WPAR vs LPAR Post 302603692 by gito on Thursday 1st of March 2012 08:10:31 PM
Old 03-01-2012
WPAR is IBM answer to Solaris Zones.
It is allowing you to have more lpras under installed aix 6.1 or 7.1 it is good for training or doing some tests. (hacmp does not work under wpars)

But at this moment it is to fresh technology I would never use it for production. A specially for some demanding SAP system
 

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FANN_GET_CASCADE_CANDIDATE_CHANGE_FRACTION(3)				 1			     FANN_GET_CASCADE_CANDIDATE_CHANGE_FRACTION(3)

fann_get_cascade_candidate_change_fraction - Returns the cascade candidate change fraction

SYNOPSIS
float fann_get_cascade_candidate_change_fraction (resource $ann) DESCRIPTION
The cascade candidate change fraction is a number between 0 and 1 determining how large a fraction the fann_get_MSE(3) value should change within fann_get_cascade_candidate_stagnation_epochs(3) during training of the candidate neurons, in order for the training not to stagnate. If the training stagnates, the training of the candidate neurons will be ended and the best candidate will be selected. It means that if the MSE does not change by a fraction of fann_get_cascade_candidate_change_fraction(3) during a period of fann_get_cas- cade_candidate_stagnation_epochs(3), the training of the candidate neurons is stopped because the training has stagnated. If the cascade candidate change fraction is low, the candidate neurons will be trained more and if the fraction is high they will be trained less. The default cascade candidate change fraction is 0.01, which is equalent to a 1% change in MSE. PARAMETERS
o $ann -Neural network resource. RETURN VALUES
The cascade candidate change fraction, or FALSE on error. SEE ALSO
fann_set_cascade_candidate_change_fraction(3), fann_get_MSE(3), fann_get_cascade_candidate_stagnation_epochs(3). PHP Documentation Group FANN_GET_CASCADE_CANDIDATE_CHANGE_FRACTION(3)
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