learn | R Documentation |
Create or update a Probabilist neural network.
learn(set, nn, category.column = 1)
set |
Data frame representing the training set. The
first column is used to define the category of each
observation (set |
nn |
A Probabilistic neural network with or without training. |
category.column |
The field number of the category (1 by default). |
The function learn
aims to create a new
Probabilist neural network with a training set, or update
the training set of an already trained Probabilist neural
network. It sets the parameters model
, set
,
category.column
, categories
, k
and
n
of the neural network.
A trained Probabilist neural network.
pnn-package
, smooth
,
perf
, guess
,
norms
library(pnn) data(norms) pnn <- learn(norms) pnn$model pnn$set[1:10,] pnn$category.column pnn$categories pnn$k pnn$n
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