Virtual Interface for NMF Algorithms
This class partially implements the generic interface
defined for general algorithms defined in the NMF
package (see algorithmic-NMF).
is.mixed tells if an NMF algorithm works on
mixed-sign data.
## S4 method for signature 'NMFStrategy' show(object) ## S4 method for signature 'NMFStrategy' objective(object) ## S4 replacement method for signature 'NMFStrategy,character' objective(object)<-value ## S4 replacement method for signature 'NMFStrategy,function' objective(object)<-value is.mixed(object)
object |
Any R object |
value |
replacement value |
the objective function associated with
the algorithm (Frobenius, Kullback-Leibler, etc...). It
is either an access key of a registered objective
function or a function definition. In the latter case,
the given function must have the following signature
(x="NMF", y="matrix") and return a nonnegative
real value.
a character string giving either the (sub)class name of the NMF-class instance used and returned by the strategy, or a function name.
a logical that indicates if the algorithm works on mixed-sign data.
signature(x = "NMFStrategy", y =
"character"): Tells if an NMF algorithm can fit a given
class of NMF models
signature(x = "NMFStrategy", y =
"NMF"): Tells if an NMF algorithm can fit the same class
of models as y
signature(object = "NMFStrategy"):
Computes the value of the objective function between the
estimate x and the target y.
signature(object =
"NMFStrategy"): Returns the model(s) that an NMF
algorithm can fit.
signature(name = "NMFStrategy",
method = "missing"): Creates an NMFStrategy based
on a template object (Constructor-Copy), in particular it
uses the same name.
signature(object =
"NMFStrategy"): Gets the objective function associated
with an NMF algorithm.
It is used in
deviance to
compute the objective value for an NMF model with respect
to a given target matrix.
signature(object =
"NMFStrategy"): Gets the objective function associated
with an NMF algorithm.
It is used in
deviance to
compute the objective value for an NMF model with respect
to a given target matrix.
signature(object =
"NMFStrategy", value = "character"): Sets the objective
function associated with an NMF algorithm, with a
character string that must be a registered objective
function.
signature(object =
"NMFStrategy", value = "character"): Sets the objective
function associated with an NMF algorithm, with a
character string that must be a registered objective
function.
signature(object =
"NMFStrategy", value = "function"): Sets the objective
function associated with an NMF algorithm, with a
function that computes the approximation error between an
NMF model and a target matrix.
signature(object =
"NMFStrategy", value = "function"): Sets the objective
function associated with an NMF algorithm, with a
function that computes the approximation error between an
NMF model and a target matrix.
signature(object = "NMFStrategy", y =
"matrix", x = "NMFfit"): Pure virtual method defined for
all NMF algorithms to ensure that a method run is
defined by sub-classes of NMFStrategy.
It throws an error if called directly.
signature(object = "NMFStrategy", y =
"matrix", x = "NMF"): Method to run an NMF algorithm
directly starting from a given NMF model.
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.