Predicting {fuseMLR}R Documentation

Predicting Class

Description

This class is designed for predictions.

The Predicting is structured as followed:

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()

See Also

TrainLayer


[Package fuseMLR version 0.0.1 Index]