![]() ![]() This app produces exceptional performance on iPad/iPhone considering it can process results faster than most of my college’s desktop computers. MATLAB is used in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. MATLAB is the leading technical computing software for algorithm development, data visualization, data analysis, and numeric computation. Note: Continued use of GPS running in the background can dramatically decrease battery life. Opening or creating models using the Simulink graphical environment.Using MATLAB Apps, such as Curve Fitting.The following features are not supported: Custom keyboard to enter typical MATLAB syntax.Cloud storage and synchronization with MATLAB Drive.Image and video acquisition from the camera.Editor to view, run, edit and create MATLAB files.Command-line access to MATLAB and add-on products.Access to other add-on products on your license.Link a license that is current on MathWorks Software Maintenance Service to your MathWorks Account to unlock the following features: Store your files and data on MATLAB Drive (you receive 5 GB of cloud storage).View, run, edit and create files from the Editor.Linking a license that is current on MathWorks Software Maintenance Service to your MathWorks Account increases your storage quota and unlocks access to other add-on products on the license. Use your MathWorks Account to connect to MathWorks Cloud from MATLAB Mobile™. Mex -largeArrayDims -O -c svm.cppmex -largeArrayDims -O -c svm_model_matlab.cmex -largeArrayDims -O svmtrain.c svm.obj svm_model_matlab.omex -largeArrayDims -O svmpredict.c svm.obj svm_model_matlab.omex -largeArrayDims -O libsvmread.cmex -largeArrayDims -O libsvmwrite.Connect to MATLAB® from your iPhone or iPad.Įvaluate MATLAB commands, create and edit files, view results, acquire data from sensors, and visualize data – from the convenience of your mobile device. And we want those, my machine learning training arrays are huge! In order to get LibSVM compiled on your 64-bit Matlab version on a Mac, I thus changed the commands in make.m to: o files, and secondly, it doesn’t support 64 bit arrays. First of all, the make.m file provided with LibSVM expects. Unfortunately, this doesn’t work nicely either. Now, mex -setup finally works, and we can move onto building LibSVM. They actually do a very good deal describing the Mex woes Mac users will encounter when ‘upgrading’ to Xcode 4.3. Instead, it ships with a similar compiler (gcc-4.2 front-end to LLVM), that Matlab can use IFF you download and apply a patch from the Mathworks. Xcode used to ship with that, but no more. Sudo ln -s /Applications/Xcode.app/Contents/Developer/Platforms/Īnd that’s that. But hey, I’m root on this machine, so let’s just bring it back: I suspect it always was in a more complicated sounding directory than /Developer, and /Developer just used to be a symlink to that. Instead, it’s found in /Applications/Xcode.app/Contents/Developer/Platforms/ First of all, for some obscure reason, Apple has done away with the /Developer directory. So, we’re fine, right? Surely Matlab will work fine now, right? Wrong again. ![]() Look for Command Line Tools, and click on install. Here’s how to get them (back): in Xcode: Preferences -> Downloads With "Components" selected, you will see a list of downloadable components. As I have version 4.3 installed, that means me. They have removed the command line utilities from their standard Xcode install as of version 4.2. What the? No gcc? How’s that possible? I had just installed the latest shiny Xcode, everything should be a-ok! But noooo, apparently Apple believes that real developers don’t need command line tools anymore. Applications/MATLAB_R2011b.app/bin/mex: line 305: gcc-4.2: command not found Note that LibSVM itself is now at version 3.11, but I haven’t been able to find out if there are any significant changes between 3.0-1 and 3.11 that would warrant me changing over.Īnyway, after downloading and unpacking the LibSVM files, I tried to set up my fresh Matlab installation to use the correct compiler. I use the version provided by UC Berkeley, which is based on LibSVM 3.0-1 but includes the Histogram Intersection Kernel, useful for my work with LBPs and other histogram-based appearance descriptors. One of the things I need for my day-to-day research is the Matlab version of LibSVM. I heard some bad stories about backwards compatibility issues of Lion, but heck, they’ve had plenty of time to sort that out, right? Wrong. So, I’ve finally received my super-hot new 15” MacBook Pro, and I’m super happy with it! Although slightly reluctant about upgrading to Lion and Xcode 4, I thought this would probably be the best moment to do it. ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |