predict-methods: predict method for S4 class 'SOMnn'

In som.nn: Topological k-NN Classifier Based on Self-Organising Maps

predict method for S4 class SOMnn

Description

Predicts categories for a table of data, based on the hexagonal som in the model. This S4 method is a wrapper for the predict method stored in the slot predict of a model of type SOMnn.

Usage

## S4 method for signature 'SOMnn'
predict(object, x)

Arguments

object	object of type SOMnn.
x	data.frame with rows of data to be predicted.

Details

The function returns the winner neuron in codes for each test vector in x. x is organised as one vector per row and must have the same number of columns (i.e. dimensions) and the identical column names as stored in the SOMnn object.

If data have been normalised during training, the same normalisation is applied to the unknown data to be predicted.

Probablilities are softmax normalised by default.

Value

       \code{data.frame} with columns: 
               \code{winner}, \code{x}, \code{y}, the predicted probabilities
               for all categories and the prediction 
               as category index (column name \code{prediction}) and
               class label (column name \code{pred.class}).

som.nn documentation built on May 29, 2024, 6:50 a.m.