trainModel

This function allows training of a discriminant model using different inputs

The library allows to perform a multivariate time series
classification based on the use of Discrete Wavelet Transform for
feature extraction, a step wise discriminant to select the most
relevant features and finally, the use of a linear or quadratic
discriminant for classification. Note that all these steps can be done
separately which allows to implement new steps. Velasco, I., Sipols,
A., de Blas, C. S., Pastor, L., & Bayona, S. (2023)
<doi:10.1186/S12938-023-01079-X>. Percival, D. B., & Walden, A. T.
(2000,ISBN:0521640687). Maharaj, E. A., & Alonso, A. M. (2014)
<doi:10.1016/j.csda.2013.09.006>.

Iván Velasco

TSEAL

Time Series Analysis Library

trainModel function

<dl><dt>data</dt>
<dd>Starting data to generate a discriminator (linear or quadratic).
This starting data can be either the raw data, or a MultiWaveAnalysis
object generated earlier.</dd>
<dt>...</dt>
<dd>Additional arguments</dd></dl>

Arguments

Generate a Discriminant Model — trainModel

<dl>

<dt>data</dt>
<dd>Starting data to generate a discriminator (linear or quadratic).
This starting data can be either the raw data, or a MultiWaveAnalysis
object generated earlier.</dd>


<dt>...</dt>
<dd>Additional arguments</dd>

</dl>

trainModel: Generate a Discriminant Model

Description

Usage

Value

Arguments

See Also