search for: rsf

...--------------------- CHANGES TO RELEASE 2.0.0 Release 2.0.0 represents a major upgrade in the functionality and stability of the original 1.0.0 release. Key changes are as follows: o Two new splitting rules, 'logrankscore' and 'logrankapprox', added. o Expanded output from 'rsf()'. Now out-of-bag objects 'oob.ensemble' and 'oob.mortality' are included in addition to the full ensemble objects 'ensemble' and 'mortality'. o Importance values for predictors can now be calculated (set 'importace = TRUE' in the initial 'rs...

...--------------------- CHANGES TO RELEASE 2.0.0 Release 2.0.0 represents a major upgrade in the functionality and stability of the original 1.0.0 release. Key changes are as follows: o Two new splitting rules, 'logrankscore' and 'logrankapprox', added. o Expanded output from 'rsf()'. Now out-of-bag objects 'oob.ensemble' and 'oob.mortality' are included in addition to the full ensemble objects 'ensemble' and 'mortality'. o Importance values for predictors can now be calculated (set 'importace = TRUE' in the initial 'rs...

Apologies for any obtuseness in the following. We have been working on Version 2.0 of the randomSurvivalForest CRAN package and we're encountering a perplexing 'memory not mapped' segfault that we believe is "influenced" by GC. We essentially have two R functions, rsf.default(..), and predict.rsf(..) and two corresponding entry points, rsfGrow(...), and rsfPredict(...), into our C library. These entry points are implemented via the .Call(...) interface. Inputs to the C code are vectors of integers and reals in the form of SEXP pointers, and the outputs for bot...

...ng a pmml object of of class "c('randomForest.formula', 'randomForest')" I see that these methods are available: > methods(pmml) [1] pmml.coxph* pmml.hclust* pmml.itemsets* pmml.kmeans* pmml.ksvm* pmml.lm* pmml.multinom* pmml.nnet* pmml.rpart* [10] pmml.rsf* pmml.rules* pmml.survreg* However, the R journal 1/1 pg 64 says there should be a method available ( http://journal.r-project.org/2009-1/RJournal_2009-1_Guazzelli+et+al.pdf ): Random Forest (and randomSurvivalForest) ? randomForest (Breiman and Cutler. R port by A. Liaw and M. Wiener, 2...

...---------------- CHANGES TO RELEASE 2.1.0 Release 2.1.0 represents a minor upgrade of the product, and will not affect most users of the prior version of the product. Key changes are as follows: o R 2.5.0 compliance issues and necessitated modifications. o Modification of PMML representation of RSF forest output. The RSF custom extension has been moved from the DataDictionary node to a new MiningBuildTask node. Note that forests produced with Release 2.0.0 will have to be regenerated using Release 2.1.0. We apologize for the inconvenience. o Fast processing of data involving large numbers...

...approach has been taken in which a data point is randomly assigned to the left or right daughter node when a split occurs on the specified variable. o The joint VIMP among multiple variables of a (potentially proper) subset of the GROW data can now be calculated using the new function interaction.rsf(). This represents a third mode of operation for the application, and follows rsf.default (GROW) and predict.rsf (PREDICT). See the documentation for details. o An additional option in GROW mode can now be specified. The option 'varUsed' allows users to quantify which variables have been...

..., that will be released in the coming months. Key changes to the current release are as follows: o The ability to fully analyze competing risk data including ensemble ?estimation, error rates, and VIMP by event type. ?Can also predict ?on test data. ?Missing data imputation is also available. See rsf() ?and competing.risk() for details. o Automatic variable selection using minimal depth theory implemented ?in the new function varSel(). ?Also see the core function ?max.subtree(). o Pairwise interactions between variables using minimal depth theory. ?See find.interaction() for more details. o...

...---------------- CHANGES TO RELEASE 2.1.0 Release 2.1.0 represents a minor upgrade of the product, and will not affect most users of the prior version of the product. Key changes are as follows: o R 2.5.0 compliance issues and necessitated modifications. o Modification of PMML representation of RSF forest output. The RSF custom extension has been moved from the DataDictionary node to a new MiningBuildTask node. Note that forests produced with Release 2.0.0 will have to be regenerated using Release 2.1.0. We apologize for the inconvenience. o Fast processing of data involving large numbers...

...approach has been taken in which a data point is randomly assigned to the left or right daughter node when a split occurs on the specified variable. o The joint VIMP among multiple variables of a (potentially proper) subset of the GROW data can now be calculated using the new function interaction.rsf(). This represents a third mode of operation for the application, and follows rsf.default (GROW) and predict.rsf (PREDICT). See the documentation for details. o An additional option in GROW mode can now be specified. The option 'varUsed' allows users to quantify which variables have been...

..., that will be released in the coming months. Key changes to the current release are as follows: o The ability to fully analyze competing risk data including ensemble ?estimation, error rates, and VIMP by event type. ?Can also predict ?on test data. ?Missing data imputation is also available. See rsf() ?and competing.risk() for details. o Automatic variable selection using minimal depth theory implemented ?in the new function varSel(). ?Also see the core function ?max.subtree(). o Pairwise interactions between variables using minimal depth theory. ?See find.interaction() for more details. o...

Has anyone experienced any problems with Areca raid cards specifically the 1220 causing kernels to lock up? We are running 2.6.18-92.1.22.el5xen on 64bit. We have "areca_cli rsf info" run once an hour from cron to check for raid raid issues. Having this running seems to cause the box to lock up. Whats weird is I can't seem to make it lock up while running that command by hand. If anyone has any insight on this it would be most appreciated. Thanks, William

We're using Samba, and it's working very well, however I'm interested in finding out what approaches would work for having some sort of redundancies in place in case the main server crashes. Is there anything in place for Samba in order to have some sort of backup in place in case the main server crashes. The reason is that the server is critical to the company's business, and

...006/bench spec/CPU2006/444.namd/run/run_peak_ref_llvm.0001 -c 1 -e compare.err -o compare. stdout -f compare.cmd Success: 1x444.namd Producing Raw Reports mach: default ext: llvm size: ref set: int set: fp format: raw -> /local/home/anitha/cpu2006/result/CFP2006.102.ref.rsf Parsing flags for 444.namd peak: done Doing flag reduction: done format: flags -> /local/home/anitha/cpu2006/result/CFP2006.102.ref.flags .html format: ASCII -> /local/home/anitha/cpu2006/result/CFP2006.102.ref.txt format: HTML -> /local/home/anitha/cpu2006/result/C...

...already. Anyone you explain me what the error message is about? Would turning off write-back help? I am going to try that. Here is the log of what I did to setup the controller using the areca cli: # Select current controller: set curctrl=1 set password=0000 GuiErrMsg<0x00>: Success. rsf delete raid=1 GuiErrMsg<0x00>: Success. CLI> disk info # ModelName Serial# FirmRev Capacity State =============================================================================== 1 ST3500630AS XXXXXXXXX 3.AAE 500.1GB Free 2 ST3500630...

Has anyone experienced any problems with Areca raid cards specifically the 1220 causing kernels to lock up? We are running 2.6.18-92.1.22.el5xen on 64bit. We have "areca_cli rsf info" run once an hour from cron to check for raid raid issues. Having this running seems to cause the box to lock up. Whats weird is I can't seem to make it lock up while running that command by hand. If anyone has any insight on this it would be most appreciated. Thanks, William

...urposes on test data sets with missing data. o Importance values for variables are returned in predict mode when test data contains outcomes as well as variables. o Fixed some bugs in plot.variable(). Thanks to Andy J. Minn for pointing this out. o Minor modification of PMML representation of RSF forest output to accomodate imputation. The method of random seed chain recovery has been altered. Note that forests produced with prior releases will have to be regenerated using this release. We apologize for the inconvenience. ------------------------------------------------------------...

...e open standard predictive modelling markup language (http://www.dmg.org/). PMML represents analytic models in an application independent way so that models developed in R can be loaded into other applications. Supported models include: arules, hclust, kmeans, ksvm, lm (and glm), nnet, rpart, and rsf. PMML consumers include Information Builders' C code generator (for deployment of R generated models within Web Focus on all of their supported platforms), Zementis' scoring engine or cloud computing application (ADAPA), Teradata's Warehouse Miner and IBM's DB2. A key update is t...

...urposes on test data sets with missing data. o Importance values for variables are returned in predict mode when test data contains outcomes as well as variables. o Fixed some bugs in plot.variable(). Thanks to Andy J. Minn for pointing this out. o Minor modification of PMML representation of RSF forest output to accomodate imputation. The method of random seed chain recovery has been altered. Note that forests produced with prior releases will have to be regenerated using this release. We apologize for the inconvenience. ------------------------------------------------------------...

...e open standard predictive modelling markup language (http://www.dmg.org/). PMML represents analytic models in an application independent way so that models developed in R can be loaded into other applications. Supported models include: arules, hclust, kmeans, ksvm, lm (and glm), nnet, rpart, and rsf. PMML consumers include Information Builders' C code generator (for deployment of R generated models within Web Focus on all of their supported platforms), Zementis' scoring engine or cloud computing application (ADAPA), Teradata's Warehouse Miner and IBM's DB2. A key update is t...

On 11 March 2013 10:06, Anitha B Gollamudi <anitha.boyapati at gmail.com> wrote: > On 23 January 2013 00:20, Craig Topper <craig.topper at gmail.com> wrote: >> >> Are you still having issues with FMA4? I wonder if PR15040 is related. A >> fix was just committed. Unfortunately r173176 does not fix this. I have updated the trunk and ran...Miscompare still persists.