SemiSupervised-class: Class 'SemiSupervised'

In SemiSupervised: Safe Semi-Supervised Learning Tools

Description

S4 VIRTUAL class used as a base for the various classes in the SemiSupervised and spa packages.

Object ‘parm’ is the class union of ‘vector’,‘numeric’, ‘integer’, and ‘NULL’ for parmeters and has no methods or slots.

Objects from the Class

Objects from the class cannot be created directly but only contained in other classes.

Slots

type

Object of class ‘parm’ contains lambda parameter values used.

gmatrix

Object of class ‘input’ for the data graph used during computations.

xmatrix

Object of class ‘output’ for the data matrix used during computations.

ymatrix

Object of class ‘output’ for the response matrix/vector.

measures

Object of class ‘output’ that provides various measures for the fit.

fit

The raw fitted values for the n observations.

.control

Internal storage of control values.

.terminfo

Internal storage of terms object.

.call

Internal call storage. S4 generics do not display the call exactly as called by the user, which is well known.

.fitinfo

Internal storage of fit information.

.cv_str

Internal storage of CV information.

.respinfo

Internal storage of response information.

Methods

dim

signature(object = "SemiSupervised"): returns the dimensions of the feature data for an ‘SemiSupervised’ object.

fitted

signature(object = "SemiSupervised"): returns the fitted values of any ‘SemiSupervised’ object.

type

signature(object = "SemiSupervised"): returns the type of fit called.

measures

signature(object = "SemiSupervised"): returns fit statistics.

gmatrix

signature(object = "SemiSupervised"): returns the adjacency matrix for the fit.

xmatrix

signature(object = "SemiSupervised"): returns the data matrix if used or NULL if x data was not used.

ymatrix

signature(object = "SemiSupervised"): returns the response vector.

Author(s)

Mark Vere Culp

See Also

s4pm, jtharm, agraph

SemiSupervised documentation built on May 11, 2018, 5:03 p.m.