similar to: Package sgd

Displaying 20 results from an estimated 6000 matches similar to: "Package sgd"

2018 Feb 05
1
Package sgd
A web search on "gradient descent R" also brought up a bunch of stuff. Is any of this what you want? Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Mon, Feb 5, 2018 at 10:23 AM, Bert Gunter <bgunter.4567 at
2018 Feb 05
0
Package sgd
1. It might help if you could state more specifically what you want to do. 2. Maybe check here if you haven't already done so: https://cran.r-project.org/web/views/ Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Mon,
2013 Mar 05
2
Questions on implementing logistic regression
Hi there, I am trying to write a tool which involves implementing logistic regression. With the batch gradient descent method, the convergence is guaranteed as it is a convex problem. However, I find that with the stochastic gradient decent method, it typically converges to some random points (i.e., not very close to the minimum point resulted from the batch method). I have tried different ways
2006 Jun 15
3
MDS with missing data?
Hello I will be applying MDS (actually Isomap) to make a psychological "concept map" of the similarities between N concepts. I would like to scale to a large number of concepts, however, the resulting N*(N-1) pairwise similarities is prohibitive for a user survey. I'm thinking of giving people random subsets of the pairwise similarities. Does anyone have recommendations for this
2011 Nov 16
1
Cubic Gradient Descent Package
R - Does anyone know of a cubic gradient descent package? I found grad.desc() but that only allows for a 2d function. I have 3 free parameters and thus am looking for a 3d function. Thank you, -- Edward H. Patzelt Research Assistant – TRiCAM Lab University of Minnesota – Psychology/Psychiatry VA Medical Center S355 Elliot Hall: 612-626-0072 www.psych.umn.edu/research/tricam [[alternative
2008 Nov 03
1
Help with 'annotation' in GOHyperGParamsClass
Dear cateGOry experts, hyperGTest documentation states that YEAST cannot be used as 'annotation' when evaluating gene ontology representation status for a given set of 'geneIds'. Because I am using a custom print I believe I need to create my own data package to use as the annotation file for 'annotation'. Can someone please describe how to make a data package that will
2009 Apr 26
1
Stochastic Gradient Ascent for logistic regression
Hi. guys, I am trying to write my own Stochastic Gradient Ascent for logistic regression in R. But it seems that I am having convergence problem. Am I doing anything wrong, or just the data is off? Here is my code in R - lbw <- read.table("http://www.biostat.jhsph.edu/~ririzarr/Teaching/754/lbw.dat" , header=TRUE) attach(lbw) lbw[1:2,] low age lwt race smoke ptl ht ui ftv
2010 Aug 06
1
on the optim function
Dear useRs, I have just discovered that the R optim function does not return the number of iterations. I still wonder why line 632-634 of optim C, the iter variable is not returned (for the BFGS method for example) ? Is there any trick to compute the iteration number with function call number? Kind regards Christophe -- Christophe Dutang Ph.D. student at ISFA, Lyon, France website:
2009 Dec 16
1
Rgraphviz installation
Hi, I wanted to install Rgraphviz. From the R GUI, I downloaded the package but when I tried to load it I got the following error message: "This application has failed to start because libcdt-4.dll was not found. Re-installing the application may fix this problem." The R commands and errors are: > utils:::menuInstallPkgs() trying URL
2012 Mar 29
3
[xapian] GSoC - Learning to Rank, Introduction and some Ideas
Hello, I am Mudit Raj Gupta, fourth year student of M.S. (Hons.) Chemistry and B.E. (Hons.) Electronics and Instrumentation at BITS-Pilani ( http://www.bits-pilani.ac.in/). I am interested in *Machine Learning and Computaional Intelligence*. I have an interest in implementing various existing algorithms and developing modified/new algorithms related to machine learning and computational
2010 Dec 20
2
How to optimize function parameters?
Hi, I have a dataset and I want to fit a function to it. The function is variogram model (http://en.wikipedia.org/wiki/Variogram) The variogram model is defined by three parameters and I want them to be automatically optimized for real time data. I tried to use gafit {gafit} for this, but there are some data configuration, where optimal results given by gafit() are negative, which is not correct
2012 Mar 27
1
About the projects of "Ranking" for GSoC 2012
Hello, I am Mohiuddin Abdul Qader, final year student from dept of CSE in Bangladesh University of Engineering & Technology(BUET). My major was artificial intelligence & i finished my course on Machine Learning and Pattern Recognition this year. I am very keen to contribute in open source community. I have just completed my thesis on 'Location Based Structured Web Search'. For the
2012 Jan 18
1
kmeans clustering on large but sparse matrix
Hi, I have a 60k*600k matrix, which exceed the vector length limit of 2^32-1. But it's rather sparse, only 0.02% has value. So I save is as MarketMatrix (mm) file, it's about 300M in size. I use readMM in Matrix package to read it in. If do so, the data type becomes dgTMatrix in 'Matrix' package instead of the common matrix type. The problem is, if I run k-means only on part of
2005 Dec 04
1
Understanding nonlinear optimization and Rosenbrock's banana valley function?
GENERAL REFERENCE ON NONLINEAR OPTIMIZATION? What are your favorite references on nonlinear optimization? I like Bates and Watts (1988) Nonlinear Regression Analysis and Its Applications (Wiley), especially for its key insights regarding parameter effects vs. intrinsic curvature. Before I spent time and money on several of the refences cited on the help pages for "optim",
2011 Sep 22
1
nlm's Hessian update method
Hi R-help! I'm trying to understand how R's nlm function updates its estimate of the Hessian matrix. The Dennis/Schnabel book cited in the references presents a number of different ways to do this, and seems to conclude that the positive-definite secant method (BFGS) works best in practice (p201). However, when I run my code through the optim function with the method as "BFGS",
2017 Oct 24
3
draw a circle with a gradient fill
Hi all,I would like to draw a simple circle where the color gradient follows the rule color = 1/(r^2) where r is the distance from the circle. I would also like to add a color bar with values going from -40 to -110 (and associate those with the color gradient that fills the circle). So far I experiemented with draw circle
2005 Oct 06
9
Grid.GetTextExtent
Wow. Look what SWIG does to GetTextExtent in Grid.cpp: void SwigDirector_wxGrid::GetTextExtent(wxString const &string, int *x, int *y, int *descent, int *externalLeading, wxFont const *font) const { ... if (swig_get_up()) { wxWindow::GetTextExtent(string,x,y,descent,externalLeading,font); return; } obj0 = rb_str_new2((const char *)(&string)->mb_str());
2005 Sep 10
2
Swig generates bad interface to GetTextExtent
Swig''s bad interface generation strikes again. get_text_extent called with 1 argument maps to WindowDC''s _wrap_wxWindowDC_GetTextExtent__SWIG_0 Since this generates a wxFont that''s not initialized to nil it fails when calling into wxWindows. Anyone have a suggestion?
2011 Apr 05
6
Suggestion: Disable X
Hello, i have a little suggestion: something like 'wine --no-x' It should disable any X output I need something like this, because i want to run Descent 3 dedicated server, however it creates status window so i can't run it in ssh :( Thanks
2012 Mar 24
3
Learning to rank
Dear Sir, I am Pankaj Singhal from Jaipur, India. I am very much interested and strongly looking forward in getting involved in this project Learning-to-Rank. My previous experience in this field is good. Last semester I did a similar job of ranking the URLs of the given huge dataset based on their attribute values. The dataset consisted hundreds of thousands of URLs and each url