Description Usage Arguments Details Value Author(s)
Fits PTL models to randomly sampled pairs of the dataset, to enable prediction of PTL model parameter values based on hyperparameter d
.
1 | fitPTLmodel(x,nPairs=10000)
|
x |
Numeric data input array, standardised to range (0,1) |
nPairs |
Numeric value specifying the number of samplings of pairs of objects to use to obtain hyperparameter fits |
Evaluates parameters for PTL model fits to the distributions of feature-wise differences between each of a specified (large) number of pairs of objects represented in dataset x
. Obtains subsequent model fits explaining the individual PTL parameters alpha
,beta
,gamma
in terms of the global (Euclidean) distances between the corresponding pairs of objects.
List with the following components:
alpha |
Object of class |
beta |
Object of class |
gamma |
Object of class |
Ed Curry e.curry@imperial.ac.uk
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