Predicting {fuseMLR} | R Documentation |
Predicting Class
Description
This class is designed for predictions.
The Predicting is structured as followed:
-
PredictLayer: Exists for each modality.
-
PredictData: Related class for modality-specific predictions.
-
-
PredictMetaLayer: Related class for meta predictions.
-
PredictData: Specific to the meta layer, it is set up internally after cross-validation.
-
Use the function train
for training and predict
for predicting.
TODO: Do not export me.
Super class
fuseMLR::HashTable
-> Predicting
Methods
Public methods
Inherited methods
Method new()
constructor
Usage
Predicting$new(id, ind_col)
Arguments
id
character
Predicting id.ind_col
character
Name of column of individuals IDS
Method print()
Printer
Usage
Predicting$print(...)
Arguments
...
any
Method createMetaTestData()
Creates a new modality-specific predictions dataset based on layer predictions.
Usage
Predicting$createMetaTestData(meta_layer_id)
Arguments
meta_layer_id
(
character(1)
)
ID of the meta layer where the testing meta data will be stored.
Returns
A TestData is returned.
Method getIndIDs()
Gather individual IDs from all layer.
Usage
Predicting$getIndIDs()
Returns
A data.frame
containing individuals IDs.
Method getPredictMetaLayer()
Getter of the meta layer.
Usage
Predicting$getPredictMetaLayer()
Returns
Object from class PredictMetaLayer
Method getIndCol()
Getter of the individual column name.
Usage
Predicting$getIndCol()