-
-
Notifications
You must be signed in to change notification settings - Fork 9
/
DESCRIPTION
78 lines (78 loc) · 2.01 KB
/
DESCRIPTION
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
66
67
68
69
70
71
72
73
74
75
76
77
78
Package: mlr3filters
Title: Filter Based Feature Selection for 'mlr3'
Version: 0.2.0
Authors@R:
c(person(given = "Patrick",
family = "Schratz",
role = c("aut", "cre"),
email = "patrick.schratz@gmail.com",
comment = c(ORCID = "0000-0003-0748-6624")),
person(given = "Michel",
family = "Lang",
role = "aut",
email = "michellang@gmail.com",
comment = c(ORCID = "0000-0001-9754-0393")),
person(given = "Bernd",
family = "Bischl",
role = "aut",
email = "bernd_bischl@gmx.net",
comment = c(ORCID = "0000-0001-6002-6980")),
person(given = "Martin",
family = "Binder",
role = "aut",
email = "mlr.developer@mb706.com"))
Description: Extends 'mlr3' with filter methods for feature
selection. Besides standalone filter methods built-in methods of any
machine-learning algorithm are supported. Partial scoring of
multivariate filter methods is supported.
License: LGPL-3
URL: https://mlr3filters.mlr-org.com,
https://github.com/mlr-org/mlr3filters
BugReports: https://github.com/mlr-org/mlr3filters/issues
Depends:
R (>= 3.1.0)
Imports:
backports,
checkmate,
data.table,
mlr3 (>= 0.1.8),
mlr3misc,
paradox,
R6
Suggests:
care,
caret,
FSelectorRcpp,
lgr,
mlr3learners,
mlr3measures,
praznik,
rpart,
testthat
Encoding: UTF-8
NeedsCompilation: no
Roxygen: list(markdown = TRUE, r6 = TRUE)
RoxygenNote: 7.0.2
Collate:
'Filter.R'
'mlr_filters.R'
'FilterAUC.R'
'FilterAnova.R'
'FilterCMIM.R'
'FilterCarScore.R'
'FilterCorrelation.R'
'FilterDISR.R'
'FilterFindCorrelation.R'
'FilterImportance.R'
'FilterInformationGain.R'
'FilterJMI.R'
'FilterJMIM.R'
'FilterKruskalTest.R'
'FilterMIM.R'
'FilterMRMR.R'
'FilterNJMIM.R'
'FilterPerformance.R'
'FilterVariance.R'
'flt.R'
'reexports.R'
'zzz.R'