SPcontrol-class | 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
:an integer value specifying the maximum amount of memory to use (default none [32 MB], range >= 16).
numpart
:an integer value specifying the number of database partitions to use (default auto, range >= 1).
timeout
:an integer value specifying the maximum runtime in seconds (default none, range >= 1).
bfstype
:a logical value specifying if a breadth-first
type of search should be performed (default FALSE
[DFS]).
verbose
:a logical value specifying if progress and
runtime information should be displayed (default FALSE
).
summary
:a logical value specifying if summary
information should be preserved (default FALSE
).
tidLists
:a logical value specifying if transaction
ID lists should be included in the result (default FALSE
).
coerce
signature(from = "NULL", to = "SPcontrol")
coerce
signature(from = "list", to = "SPcontrol")
coerce
signature(from = "SPcontrol", to = "character")
coerce
signature(from = "SPcontrol", to = "data.frame")
coerce
signature(from = "SPcontrol", to = "list")
coerce
signature(from = "SPcontrol", to = "vector")
format
signature(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
informational output from the system calls
in the preprocessing and mining steps will be preserved in 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")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.