sampleToBayesFeatures {mmb} | R Documentation |
Transform an entire sample into a collection of Bayesian features.
Description
Helper function that takes one sample (e.g., a row of a dataframe
with validation data) and transforms it into a data.frame where
each row corresponds to one feature (and its value) of the sample.
This is done using @seealso createFeatureForBayes
. This
operation can be thought of transposing a matrix.
Usage
sampleToBayesFeatures(dfRow, targetCol)
Arguments
dfRow |
a row of a data.frame with a value for each feature. |
targetCol |
the name of the feature (column in the data.frame) that is the target variable for classification or regression. |
Value
a data.frame where the first row is the feature that represents the label.
Author(s)
Sebastian Hönel sebastian.honel@lnu.se
Examples
# Converts all features of iris; the result is a data.frame of length
# equal to the amount of features in iris (5). The first feature is
# targetCol (has isLabel=TRUE).
samp <- mmb::sampleToBayesFeatures(dfRow = iris[15,], targetCol = "Species")
[Package mmb version 0.13.3 Index]