Mathematica implementations of machine learning algorithms used for prediction and personalization.

This open source project is for Mathematica implementations of statistical and machine learning algorithms that can be used for data analysis, prediction, and recommendation systems.

Note that the Github repository also includes Lua, Java and R code. The companion website is Mathematica for prediction algorithms.

A few days ago, I read a thread on Biostars (which I haven’t consulted in a while) on the use of Wolfram mathematica in bioinformatics, and I wondered why people are so critical of this software. The same applies to Stata (if you see the recent flame on Twitter, you know what I mean), albeit in this case there’s not even this man behind it.

Long time no see. I have been compiling several pieces of bioinformatics software lately. No issues whatsoever, except for a few glitch with boost libraries.

I just added permalinks in this section (here, a small hash symbol near the date). I was missing a way to link to previous micro-posts.

I’m almost done with Occupied. I initially thought I would be able to finish the last two episodes of the first season this evening, but I’m so tired (I’m up since 4am) that I’m afraid I won’t be able to stand up for long.

  Peter Erskine Trio, As It Was.

I am still unsure how best to use org-journal. I already use a “diary” file where I bookmark important stages of my working day. This way, I get a nice summary with org-agenda. Obviously, I could do exactly the same using org-journal, but I was thinking that it could also be used to record my posts on the main site: (1) I would be writing using Org mode directly, (2) I would get a searchable archive from Emacs directly (and more convenient than deft), and (3) that would be just cool. #emacs

How to delete empty lines in a file by Emacs? Useful to clean up an HTML page with lot of extra blank lines. #emacs

M-x flush-lines RET ^[[:space:]]*$ RET

This moment when you realize that you are stuck with Java 8 on your OS… Two options: use Homebrew (brew cask install java) or proceed manually. I think I will love bioinformatics tools.

It’s been a while since I haven’t run any ML model using caret, especially since Max Kuhn engaged in the RStudio team to develop a brand new ML pipeline in the name of the tidy new wave: tidymodels, then parsnip (slides near here). Anyway, here is a good tutorial if you want to get started with caret. (via @R_Programming) #rstats