| SPcontrol-class {arulesSequences} | R Documentation |
Provides control parameters for the cSPADE algorithm for mining frequent sequences.
A suitable default parameter object will be automatically created
by a call to cspade. However, the values can be replaced
by specifying a named list with the names (partially) matching the
slot names of the SPparameter class.
Objects can be created by calls of the form
new("SPcontrol", ...).
memsize:numpart:bfstype:FALSE [DFS]).verbose:FALSE).summary:FALSE).coercesignature(from = "NULL", to = "SPcontrol")coercesignature(from = "list", to = "SPcontrol")coercesignature(from = "SPcontrol, to = "character")coercesignature(from = "SPcontrol, to = "data.frame")coercesignature(from = "SPcontrol, to = "list")coercesignature(from = "SPcontrol, to = "vector")formatsignature(x = "SPcontrol")
User-supplied values are silently coerced to the target class, e.g.
integer.
Parameters with no (default) value are not supplied to the mining
algorithm, i.e., take the default values implemented there. A
default can be unset using NULL.
The value of memsize implicitly determines the number of
database partitions used unless overridden by numpart.
Usually, the more partitions the less the runtime in the mining stage.
However, there may be a trade-off with preprocessing time.
If summary = TRUE output on the console from the system
calls in the preprocessing and mining steps are written to the
file summary.out in the current working directory.
Christian Buchta
Class
SPparameter,
function
cspade.
## coerce from list p <- as(list(verbose = TRUE), "SPcontrol") p ## coerce to as(p, "vector") as(p, "data.frame")