File: makeExtractFDAFeatsWrapper.Rd

package info (click to toggle)
r-cran-mlr 2.19.2%2Bdfsg-1
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 8,264 kB
  • sloc: ansic: 65; sh: 13; makefile: 5
file content (65 lines) | stat: -rw-r--r-- 2,516 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/extractFDAFeaturesWrapper.R
\name{makeExtractFDAFeatsWrapper}
\alias{makeExtractFDAFeatsWrapper}
\title{Fuse learner with an extractFDAFeatures method.}
\usage{
makeExtractFDAFeatsWrapper(learner, feat.methods = list())
}
\arguments{
\item{learner}{(\link{Learner} | \code{character(1)})\cr
The learner.
If you pass a string the learner will be created via \link{makeLearner}.}

\item{feat.methods}{(named \link{list})\cr
List of functional features along with the desired methods for each functional feature.
\dQuote{all} applies the \link{extractFDAFeatures} method to each
functional feature.
Names of \code{feat.methods} must match column names of functional features.
Available feature extraction methods are available under family \code{fda_featextractor}.
Specifying a functional feature multiple times with different extraction methods allows
for the extraction of different features from the same functional.
Default is \code{\link[=list]{list()}} which does nothing.}
}
\value{
\link{Learner}.
}
\description{
Fuses a base learner with an extractFDAFeatures method. Creates a learner object, which can be
used like any other learner object.
Internally uses \link{extractFDAFeatures} before training the learner and
\link{reextractFDAFeatures} before predicting.
}
\seealso{
Other fda: 
\code{\link{extractFDAFeatures}()},
\code{\link{makeExtractFDAFeatMethod}()}

Other wrapper: 
\code{\link{makeBaggingWrapper}()},
\code{\link{makeClassificationViaRegressionWrapper}()},
\code{\link{makeConstantClassWrapper}()},
\code{\link{makeCostSensClassifWrapper}()},
\code{\link{makeCostSensRegrWrapper}()},
\code{\link{makeDownsampleWrapper}()},
\code{\link{makeDummyFeaturesWrapper}()},
\code{\link{makeFeatSelWrapper}()},
\code{\link{makeFilterWrapper}()},
\code{\link{makeImputeWrapper}()},
\code{\link{makeMulticlassWrapper}()},
\code{\link{makeMultilabelBinaryRelevanceWrapper}()},
\code{\link{makeMultilabelClassifierChainsWrapper}()},
\code{\link{makeMultilabelDBRWrapper}()},
\code{\link{makeMultilabelNestedStackingWrapper}()},
\code{\link{makeMultilabelStackingWrapper}()},
\code{\link{makeOverBaggingWrapper}()},
\code{\link{makePreprocWrapper}()},
\code{\link{makePreprocWrapperCaret}()},
\code{\link{makeRemoveConstantFeaturesWrapper}()},
\code{\link{makeSMOTEWrapper}()},
\code{\link{makeTuneWrapper}()},
\code{\link{makeUndersampleWrapper}()},
\code{\link{makeWeightedClassesWrapper}()}
}
\concept{fda}
\concept{wrapper}