search for: sbf

Dear all, I am using caret package to analyze a microarray dataset with feature selection using sbf(). My dataset is 3500 samples with 2200 genes, the outcome Y variable is a factor of 12 levels. I used the following script to run the feature selection: library(caret) ctrl <- sbfControl(functions=rfSBF, method='repeatedcv', repeats=5) ### x is a matrix of 3500x2200, y is a factor...

...def CONFIG_ACPI_BOOT enum acpi_interrupt_id { ACPI_INTERRUPT_PMI = 1, @@ -159,42 +49,6 @@ enum acpi_interrupt_id { ACPI_INTERRUPT_COUNT }; -#define ACPI_SPACE_MEM 0 - -/* - * Simple Boot Flags - * http://www.microsoft.com/whdc/hwdev/resources/specs/simp_bios.mspx - */ -struct acpi_table_sbf -{ - u8 sbf_signature[4]; - u32 sbf_len; - u8 sbf_revision; - u8 sbf_csum; - u8 sbf_oemid[6]; - u8 sbf_oemtable[8]; - u8 sbf_revdata[4]; - u8 sbf_creator[4]; - u8 sbf_crearev[4]; - u8 sbf_cmos; - u8 sbf_spare[3]; -} __attribute__ ((packed)); - -enum acpi_srat_entry_id { - ACPI_SRAT_PROCESSOR_AFFINI...

...terisk 1.4.14 running on its own (i.e. no external telephony). MySQL 5.0.22. Many thanks! Stu -- Stuart Benjamin Ford Chief Technical Officer Zimo Communications Ltd. Landmark House Station Road Cheadle Hulme Cheshire SK8 7BS Switch 0800 321 3000 Fax 08703 850 860 Direct 0800 321 3763 E-mail sbf at zimo.co.uk Web www.zimo.co.uk

...quot;,0093d5ac,0093d5a4,a2000000) ret=6833676d 0021:Ret shlwapi.UrlCanonicalizeA() retval=00000000 ret=6833676d 0021:Ret wininet.InternetCanonicalizeUrlA() retval=00000001 ret=0051cc6d 0021:Call wininet.InternetCanonicalizeUrlA(005dfac8 "http://www.trading-tools.com/mld/symbol lists71/France/SBF 80.txt",0093d5ac,0093d5a4,02000000) ret=0051cc6d 0021:Call shlwapi.UrlCanonicalizeA(005dfac8 "http://www.trading-tools.com/mld/symbol lists71/France/SBF 80.txt",0093d5ac,0093d5a4,a2000000) ret=6833676d 0021:Ret shlwapi.UrlCanonicalizeA() retval=00000000 ret=6833676d 0021:Ret winine...

...a talk at this year's useR! conference. Since the last posting to this list: - 23 additional models were added to train() - weights can be passed in through train() - feature selection methods have been added: recursive feature elimination (rfe()) and selection by univariate filters (sbf()). Both functions can be run in parallel. - a set of functions (class "classDist") to computes the class centroids and covariance matrix for a training set for determining Mahalanobis distances of new samples to each class centroid - a faster version of nearZeroVar() due...

...thin train(). - a function for independent component regression (icr) was added - the class for aggregating and visualization resampling results (resamples) has been enhanced with more visualization methods. The class can also work with caret's feature selection routines (rfe() and sbf()) - the print method for train() has been improved - functions can be now be passed to the tuneGrid argument in train() - an existing function that catalogs the existing models available within train(), called modelLookup(), is now available to the users - when parallel processing...

...bly same error (https://stat.ethz.ch/pipermail/r-help/2005-January/064308.html) but it seems like it doesnt really help me. More specifically i am trying the following command. ssha is a vector of 1038240 observations, latlon1 a matrix 1038240x2, net a list of 1038240 points. > out.ls<-sbf(obs=ssha, latlon=latlon1, netlab=net, eta=eta, method="ls", approx=TRUE,grid.size=c(100,200)) I would be highly grateful if anybody could help in any way. Best regards Konstantina Konstantina Rizopoulou MRes in Ocean Remote Sensing Konstantina Rizopoulou MRes in Ocean Remot...

...a talk at this year's useR! conference. Since the last posting to this list: - 23 additional models were added to train() - weights can be passed in through train() - feature selection methods have been added: recursive feature elimination (rfe()) and selection by univariate filters (sbf()). Both functions can be run in parallel. - a set of functions (class "classDist") to computes the class centroids and covariance matrix for a training set for determining Mahalanobis distances of new samples to each class centroid - a faster version of nearZeroVar() due...

...thin train(). - a function for independent component regression (icr) was added - the class for aggregating and visualization resampling results (resamples) has been enhanced with more visualization methods. The class can also work with caret's feature selection routines (rfe() and sbf()) - the print method for train() has been improved - functions can be now be passed to the tuneGrid argument in train() - an existing function that catalogs the existing models available within train(), called modelLookup(), is now available to the users - when parallel processing...

...7:16:55 MDT 2008 deraadt at i386.openbsd.org:/usr/src/sys/arch/i386/compile/GENERIC cpu0: Intel(R) Xeon(R) CPU 3040 @ 1.86GHz ("GenuineIntel" 686-class) 1.87 GHz cpu0: FPU,V86,DE,PSE,TSC,MSR,PAE,MCE,CX8,APIC,SEP,MTRR,PGE,MCA,CMOV,PAT,PSE36,CFLUSH,DS,ACPI,MMX,FXSR,SSE,SSE2,SS,HTT,TM,SBF,SSE3,MWAIT,DS-CPL,VMX,EST,TM2,CX16,xTPR real mem = 1071788032 (1022MB) avail mem = 1027936256 (980MB) mainbus0 at root bios0 at mainbus0: AT/286+ BIOS, date 12/31/99, BIOS32 rev. 0 @ 0xfd460, SMBIOS rev. 2.4 @ 0xdc010 (48 entries) bios0: vendor HP version "O10" date 07/20/2007 bios0: HP...

CRAN (and crantastic) updates this week New packages ------------ * bdoc (1.0) Michael Anderson http://crantastic.org/packages/bdoc This package contains a function that will classify DNA barcodes as well as a few test and reference data sets. * bdsmatrix (1.0) Terry Therneau http://crantastic.org/packages/bdsmatrix This is a special case of sparse matrices, used by coxme and

Hello list. I'm trying to rebuild the 2.6.9.67.0.20.EL kernel, but it fails even without modifications. How did I try it? Created a (non-root) build environment (not a mock ) Installed the kernel.scr.rpm and did a rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee prep-out.log The build failed at the end: Processing files: kernel-xenU-devel-2.6.9-67.0.20.EL Checking

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