tdmGraphicCloseDev
(Package: TDMR) :
Close all open graphic devices.
Close all open graphic devices.
● Data Source:
CranContrib
● Keywords:
● Alias: tdmGraphicCloseDev
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print2
(Package: TDMR) :
Print objects using code{print
Print objects using print if opts$VERBOSE>=2 .
● Data Source:
CranContrib
● Keywords: internal
● Alias: print2
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tdmPreNAroughfix
(Package: TDMR) :
Replace <NA> values with suitable non <NA> values
This function replaces <NA> values in a list entry or data frame column with the median (for numeric columns) or the most frequent mode (for factor columns). It does the same as na.roughfix in package randomForest, but does so faster.
● Data Source:
CranContrib
● Keywords:
● Alias: tdmPreNAroughfix
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print.TDMregressor
(Package: TDMR) :
Print an overview for a code{link{TDMregressor
Print an overview for a TDMregressor or tdmRegre object.
● Data Source:
CranContrib
● Keywords:
● Alias: print.TDMregressor, print.tdmRegre
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zzz
(Package: TDMR) :
just to make example check happy
If we do not have this little dummy function with the plot command in the example, then 'R CMD check' in buildTDMR.r will fail when the examples are checked. The reason: The file TDMR.Rcheck/TDMR-Ex.R contains a footer which tries to close a graphics device with grDevices::dev.off(). But if there is no graphics device from the previous example, dev.off() tries to operate on the null device and this produces an error.
● Data Source:
CranContrib
● Keywords: internal
● Alias: zzz
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tdmMapDesLoad
(Package: TDMR) :
Load the mapping files.
Load the map files "tdmMapDesign.csv" and optionally also "userMapDesign.csv" and store them in tdm$map and tdm$mapUser , resp. These maps are used by tdmMapDesApply . "tdmMapDesign.csv" is searched in the TDMR library path find.package("TDMR") . (For the developer version: <tdm$tdmPath>/inst ). "userMapDesign.csv" is searched in tdm$path (which is getwd() if the user did not define tdm$path).
● Data Source:
CranContrib
● Keywords:
● Alias: tdmMapDesLoad
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makeTdmRandomSeed
(Package: TDMR) :
Factory method to make a function generating pseudo-random random number seeds.
Create first an object of type makeTdmRandomSeed and then call the returned value of that object (a function) as many times as you like. (It is necessary to create the function object first to have in its environment the private storage for the number of calls to that object.)
● Data Source:
CranContrib
● Keywords: internal
● Alias: makeTdmRandomSeed
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tdmROCRbase
(Package: TDMR) :
Single plot of ROC, lift or other chart for a code{link{TDMclassifier
Single plot of ROC, lift or other chart for a TDMclassifier object.
● Data Source:
CranContrib
● Keywords:
● Alias: tdmROCRbase
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TDMR-package
(Package: TDMR) :
Tuned Data Mining in R
Tuned Data Mining in R
● Data Source:
CranContrib
● Keywords: data, learning, machine, mining, package, tuning
● Alias: TDMR, TDMR-package
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tdmStartSpot
(Package: TDMR) :
Function called by code{link{spot
This function is called by spot for evaluations during a tuning run. It accumulates in spotConfig$alg.currentResult the RES data frame of all evaluations and in spotConfig$alg.currentBest the BST data frame of the so far best solution.
● Data Source:
CranContrib
● Keywords:
● Alias: tdmStartSpot
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