write.liquidData

data

the location to write <code>name.train.csv</code> and <code>name.test.csv</code>

location

the column with this index or this name will become the label column,
and be written as the first column.

label

the name of the file. If <code>NULL</code> (default) then takes the <code>data$name</code>

name

the format of output. At the moment only <code>"csv"</code> is supported.

type

Write <code>liquidData</code> in such a way that it is understood by liquidSVM command line utilities.

Support vector machines (SVMs) and related kernel-based learning
algorithms are a well-known class of machine learning algorithms, for
non-parametric classification and regression.
liquidSVM is an implementation of SVMs whose key features are:
fully integrated hyper-parameter selection,
extreme speed on both small and large data sets,
full flexibility for experts, and
inclusion of a variety of different learning scenarios:
multi-class classification, ROC, and Neyman-Pearson learning, and
least-squares, quantile, and expectile regression.

write.liquidData: Write Smldata

Description

Usage

Arguments