platypus: platypus multiview learning

In graim/PLATYPUS: Multiple view and task learning

Description

The standard platypus function for multiview learning first pass the filepath for the labs file and the column name or number of the class (if not given, first column is default) pass the filepath of a parameter-file for each view

Usage

platypus(fn.labs, view.list, b = "intermediate", i = 100, m = 100,
  e = FALSE, u = FALSE, classcol.labs = 1, nfolds = 10)

Arguments

fn.labs	File containing outcome labels
view.list	List of view objects
b	Label class to ignore, if any. Defaults to 'intermediate'
i	Maximal number of iterations for each platypus run, default=100
m	Percent agreement required to learn a sample's class label, default=100
e	Expanded output: returned result list contains a list of trained views after each iteration, default=FALSE
u	Updating the accuracies of the single views in each iteration, default=FALSE
classcol.labs	Optional argument. Which column from the labels file to use for learning
nfolds	Number of cross-validation folds

Value

final.result.list

graim/PLATYPUS documentation built on Oct. 4, 2019, 2:05 p.m.