search for: setpars

...ns <- getRHS.noVarying() *************** *** 331,337 **** else { vary }, envir = thisEnv) ! gradCall[[length(gradCall)]] <<- useParams if(all(useParams)) { assign("setPars", setPars.noVarying, envir = thisEnv) assign("getPars", getPars.noVarying, envir = thisEnv) --- 331,337 ---- else { vary }, envir = thisEnv) ! gradCall[[length(gradCall)-1]] <...

Dears, I have a question about copying reference objects using the initialize method. 1) If the latter has no arguments, there is no problem to copy an object. myClass = setRefClass("myClass", fields = list(value = "numeric") ) myClass$methods(initialize = function(...){ ? value <<- 1 ? callSuper(...) }) newObject = myClass$new() newObject$value = 2 copyObject =

...> ..$ formula :function () > ..$ deviance :function () > ..$ lhs :function () > ..$ gradient :function () > ..$ conv :function () > ..$ incr :function () > ..$ setVarying:function (vary = rep(TRUE, length(useParams))) > ..$ setPars :function (newPars) > ..$ getPars :function () > ..$ getAllPars:function () > ..$ getEnv :function () > ..$ trace :function () > ..$ Rmat :function () > ..$ predict :function (newdata = list(), qr = FALSE) > ..- attr(*, "class&...

Hi Chris, >> In my code generator, I need to prepare a block and add instructions to it, then insert this block in a function defined later (that is I cannot create the function at the beginning stage become some info are not available yet). I tried to create a block without any "parent" (BasicBlock::Create(getGlobalContext(), "init"), fill it, but how to link it with

When one moves an instruction from one BasicBlock to another, the instruction continues to believe that its parent is the original BasicBlock. This is very undesirable. Is there a way to set the parent or a way to move the instruction such that the parent is updated correctly?

Currently, my way around this was to go into Instruction.h and make setParent() public. I hope there is a better way? -----Original Message----- From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu] On Behalf Of Patrick Meredith Sent: Tuesday, May 31, 2005 8:17 AM To: 'LLVM Developers Mailing List' Subject: [LLVMdev] setting instruction parents When one moves an

On Tue, May 31, 2005 at 08:42:26AM -0500, Patrick Meredith wrote: > Currently, my way around this was to go into Instruction.h and make > setParent() public. I hope there is a better way? You shouldn't be modifying the API like this ... > When one moves an instruction from one BasicBlock to another, the > instruction continues to believe that its parent is the original >

...ction () ..$ fitted :function () ..$ formula :function () ..$ deviance :function () ..$ lhs :function () ..$ gradient :function () ..$ conv :function () ..$ incr :function () ..$ setVarying:function (vary = rep(TRUE, length(useParams))) ..$ setPars :function (newPars) ..$ getPars :function () ..$ getAllPars:function () ..$ getEnv :function () ..$ trace :function () ..$ Rmat :function () ..$ predict :function (newdata = list(), qr = FALSE) ..- attr(*, "class")= chr "nlsModel" $...

...gt; Waiting for profiling to be done... #R> Error in attr(ans, "gradient")[c(TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, : #R> (subscript) logical subscript too long traceback() # [output output abbreviated] ##### # It seems to fail due to the dimension in gradCall environment(f1$m$setPars)$gradCall #R> attr(ans, "gradient")[c(TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, #R> TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE), #R> c(TRUE, TRUE, TRUE, TRUE), drop = FALSE] (ca <- environment(f2$m$setPars)$gradCall) #R> attr(ans, "gradient")[c(TRUE,...

.....$ resid :function () ..$ fitted :function () ..$ formula :function () ..$ deviance :function () ..$ lhs :function () ..$ gradient :function () ..$ conv :function () ..$ incr :function () ..$ setVarying:function (vary = rep(TRUE, length(useParams))) ..$ setPars :function (newPars) ..$ getPars :function () ..$ getAllPars:function () ..$ getEnv :function () ..$ trace :function () ..$ Rmat :function () ..$ predict :function (newdata = list(), qr = FALSE) ..- attr(*, "class")= chr "nlsModel" $ convInfo :L...

I have two very specific questions about LLVM, but first let me give you the general overview of what I am trying to achieve. I have some section of a function that I want to replace with a function call to a brand new function. For example, I want to take the following function: function foo: code A <--- CUT code B <--- CUT code C and (approximately) convert it into: function foo:

...ction () ..$ fitted :function () ..$ formula :function () ..$ deviance :function () ..$ lhs :function () ..$ gradient :function () ..$ conv :function () ..$ incr :function () ..$ setVarying:function (vary = rep(TRUE, length(useParams))) ..$ setPars :function (newPars) ..$ getPars :function () ..$ getAllPars:function () ..$ getEnv :function () ..$ trace :function () ..$ Rmat :function () ..$ predict :function (newdata = list(), qr = FALSE) ..- attr(*, "class")= chr "nlsModel" $...

Hi, In my code generator, I need to prepare a block and add instructions to it, then insert this block in a function defined later (that is I cannot create the function at the beginning stage become some info are not available yet). I tried to create a block without any "parent" (BasicBlock::Create(getGlobalContext(), "init"), fill it, but how to link it with the created

On Jun 13, 2010, at 2:12 AM, Stéphane Letz wrote: > Hi, > > In my code generator, I need to prepare a block and add instructions to it, then insert this block in a function defined later (that is I cannot create the function at the beginning stage become some info are not available yet). I tried to create a block without any "parent" (BasicBlock::Create(getGlobalContext(),

...functions _and_ the environment in which they were created. That is, it is a list of function closures that share the same environment. This is similar in flavor to the example in the demos/language/scoping.R file. All of the functions in an nlsModel object behave like accessor methods except for setPars which sets a new value of the parameters. Using the nlsModel object and its methods, the nls function itself becomes trivial. This style of programming is directly inspired by the presentation that Robert Gentleman made on the last day of the Distributed Statistical Computing - Vienna '99 conf...

...:function () > ..$ formula :function () > ..$ deviance :function () > ..$ lhs :function () > ..$ gradient :function () > ..$ conv :function () > ..$ incr :function () > ..$ setVarying:function (vary = rep(TRUE, length(useParams))) > ..$ setPars :function (newPars) > ..$ getPars :function () > ..$ getAllPars:function () > ..$ getEnv :function () > ..$ trace :function () > ..$ Rmat :function () > ..$ predict :function (newdata = list(), qr = FALSE) > ..- attr(*, "class")= chr &q...

...ction ()    ..$ fitted    :function ()    ..$ formula   :function ()    ..$ deviance  :function ()    ..$ lhs       :function ()    ..$ gradient  :function ()    ..$ conv      :function ()    ..$ incr      :function ()    ..$ setVarying:function (vary = rep(TRUE, length(useParams)))    ..$ setPars   :function (newPars)    ..$ getPars   :function ()    ..$ getAllPars:function ()    ..$ getEnv    :function ()    ..$ trace     :function ()    ..$ Rmat      :function ()    ..$ predict   :function (newdata = list(), qr = FALSE)    ..- attr(*, "class")= chr "nlsModel" $...

...:function () > ..$ formula :function () > ..$ deviance :function () > ..$ lhs :function () > ..$ gradient :function () > ..$ conv :function () > ..$ incr :function () > ..$ setVarying:function (vary = rep(TRUE, length(useParams))) > ..$ setPars :function (newPars) > ..$ getPars :function () > ..$ getAllPars:function () > ..$ getEnv :function () > ..$ trace :function () > ..$ Rmat :function () > ..$ predict :function (newdata = list(), qr = FALSE) > ..- attr(*, "class")= chr &q...

...:function () > ..$ formula :function () > ..$ deviance :function () > ..$ lhs :function () > ..$ gradient :function () > ..$ conv :function () > ..$ incr :function () > ..$ setVarying:function (vary = rep(TRUE, length(useParams))) > ..$ setPars :function (newPars) > ..$ getPars :function () > ..$ getAllPars:function () > ..$ getEnv :function () > ..$ trace :function () > ..$ Rmat :function () > ..$ predict :function (newdata = list(), qr = FALSE) > ..- attr(*, "class")= chr &q...

The Wine development release 1.3.14 is now available. What's new in this release (see below for details): - Many cleanups to address Valgrind and Clang warnings. - Support for creating compressed cabinet files. - Translation updates. - Various bug fixes. The source is available from the following locations: http://ibiblio.org/pub/linux/system/emulators/wine/wine-1.3.14.tar.bz2