Testing {fuseMLR} | R Documentation |
Testing Class
Description
This is a primary classes of fuseMLR. An object from this class is designed to contain multiple layers, but only one new meta layer.
A Testing object is structured as followed:
Super class
fuseMLR::HashTable
-> Testing
Methods
Public methods
Inherited methods
Method new()
constructor
Usage
Testing$new(id, ind_col, verbose = TRUE)
Arguments
id
character
Testing id.ind_col
character
Name of column of individuals IDS in testing data.frame.verbose
boolean
Warning messages will be displayed if set to TRUE.
Method print()
Printer
Usage
Testing$print(...)
Arguments
...
any
Method getIndIDs()
Gather individual IDs from all layer.
Usage
Testing$getIndIDs()
Returns
A data.frame
containing individuals IDs.
Method getTestMetaLayer()
Getter of the meta layer.
Usage
Testing$getTestMetaLayer()
Returns
Object from class TestMetaLayer
Method getIndCol()
Getter of the individual column name.
Usage
Testing$getIndCol()
Method getVerbose()
Getter of the verbose setting.
Usage
Testing$getVerbose()
Method getData()
Retrieve modality-specific prediction data.
Usage
Testing$getData()
Returns
A list
containing all (base and meta) models.
Method upset()
UpSet plot to show an overview of the overlap of individuals across various layers.
Usage
Testing$upset(...)
Arguments
...
any
Further parameters to be passed to the theupset
function from packageUpSetR
.
Method summary()
Generate testing summary
Usage
Testing$summary()