man/Model.Rd

   1 % Generated by roxygen2: do not edit by hand
   2 % Please edit documentation in R/R6_Model.R
   3 \name{Model}
   4 \alias{Model}
   5 \title{R6 class representing a (generic) model.}
   6 \description{
   7 "Model" class, containing a (generic) learning function, which from
   8 data + target [+ params] returns a prediction function X --> y.
   9 Parameters for cross-validation are either provided or estimated.
  10 Model family can be chosen among "rf", "tree", "ppr" and "knn" for now.
  11 }
  12 \section{Public fields}{
  13 \if{html}{\out{<div class="r6-fields">}}
  14 \describe{
  15 \item{\code{nmodels}}{Number of parameters (= number of [predictive] models)}
  16 }
  17 \if{html}{\out{</div>}}
  18 }
  19 \section{Methods}{
  20 \subsection{Public methods}{
  21 \itemize{
  22 \item \href{#method-new}{\code{Model$new()}}
  23 \item \href{#method-get}{\code{Model$get()}}
  24 \item \href{#method-clone}{\code{Model$clone()}}
  25 }
  26 }
  27 \if{html}{\out{<hr>}}
  28 \if{html}{\out{<a id="method-new"></a>}}
  29 \if{latex}{\out{\hypertarget{method-new}{}}}
  30 \subsection{Method \code{new()}}{
  31 Create a new generic model.
  32 \subsection{Usage}{
  33 \if{html}{\out{<div class="r">}}\preformatted{Model$new(data, target, task, gmodel = NULL, params = NULL)}\if{html}{\out{</div>}}
  34 }
  35
  36 \subsection{Arguments}{
  37 \if{html}{\out{<div class="arguments">}}
  38 \describe{
  39 \item{\code{data}}{Matrix or data.frame}
  40
  41 \item{\code{target}}{Vector of targets (generally numeric or factor)}
  42
  43 \item{\code{task}}{"regression" or "classification"}
  44
  45 \item{\code{gmodel}}{Generic model returning a predictive function; chosen
  46 automatically given data and target nature if not provided.}
  47
  48 \item{\code{params}}{List of parameters for cross-validation (each defining a model)}
  49 }
  50 \if{html}{\out{</div>}}
  51 }
  52 }
  53 \if{html}{\out{<hr>}}
  54 \if{html}{\out{<a id="method-get"></a>}}
  55 \if{latex}{\out{\hypertarget{method-get}{}}}
  56 \subsection{Method \code{get()}}{
  57 Returns the model at index "index", trained on dataHO/targetHO.
  58 index is between 1 and self$nmodels.
  59 \subsection{Usage}{
  60 \if{html}{\out{<div class="r">}}\preformatted{Model$get(dataHO, targetHO, index)}\if{html}{\out{</div>}}
  61 }
  62
  63 \subsection{Arguments}{
  64 \if{html}{\out{<div class="arguments">}}
  65 \describe{
  66 \item{\code{dataHO}}{Matrix or data.frame}
  67
  68 \item{\code{targetHO}}{Vector of targets (generally numeric or factor)}
  69
  70 \item{\code{index}}{Index of the model in 1...nmodels}
  71 }
  72 \if{html}{\out{</div>}}
  73 }
  74 }
  75 \if{html}{\out{<hr>}}
  76 \if{html}{\out{<a id="method-clone"></a>}}
  77 \if{latex}{\out{\hypertarget{method-clone}{}}}
  78 \subsection{Method \code{clone()}}{
  79 The objects of this class are cloneable with this method.
  80 \subsection{Usage}{
  81 \if{html}{\out{<div class="r">}}\preformatted{Model$clone(deep = FALSE)}\if{html}{\out{</div>}}
  82 }
  83
  84 \subsection{Arguments}{
  85 \if{html}{\out{<div class="arguments">}}
  86 \describe{
  87 \item{\code{deep}}{Whether to make a deep clone.}
  88 }
  89 \if{html}{\out{</div>}}
  90 }
  91 }
  92 }