Nothing

```
#######################################################################
# rEMM - Extensible Markov Model (EMM) for Data Stream Clustering in R
# Copyright (C) 2011 Michael Hahsler
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
## build uses its own implementation of fade! See build.R
.fade <- function(x, t = 1, lambda = NULL) {
if (is.null(lambda))
lambda_factor <- x@tnn_d$lambda_factor
else
lambda_factor <- 2 ^ (-lambda)
## fade counts (tNN)
x@tnn_d$counts <- x@tnn_d$counts * lambda_factor ^ t
## fade transition counts (TRACDS)
x@tracds_d$mm <- smc_fade(x@tracds_d$mm, lambda_factor ^ t)
invisible(x)
}
setMethod("fade", signature(x = "EMM", t = "numeric", lambda = "missing"),
function(x, t, lambda)
.fade(x, t))
setMethod("fade", signature(x = "EMM", t = "missing", lambda = "missing"),
function(x, t, lambda)
.fade(x, t = 1))
setMethod("fade", signature(x = "EMM", t = "numeric", lambda = "numeric"),
function(x, t, lambda)
.fade(x, t, lambda))
setMethod("fade", signature(x = "EMM", t = "missing", lambda = "numeric"),
function(x, t, lambda)
.fade(x, , lambda))
```

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