1. Scikit-learn-speed: An overview on the final day

    This summer, I was granted the project called scikit-learn-speed, consisting of developing a benchmarking platform for scikit-learn and using it to find potential speedups, and in the end, make the library go faster wherever I can.

    On the official closing day of this work, I’d like to take a ...

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  2. Inverses and pseudoinverses. Numerical issues, speed, symmetry.

    The matrix inverse is a cornerstone of linear algebra, taught, along with its applications, since high school. The inverse of a matrix \$latex A\$, if it exists, is the matrix \$latex A\^{-1}\$ such that \$latex AA\^{-1} = A\^{-1}A = I_n\$. Based on the requirement that the left and ...

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  3. Profiler output, benchmark standard deviation and other goodies in scikit-learn-speed

    This post is about the scikit-learnbenchmarking project that I am working on, called scikit-learn-speed. This is a continuous benchmarking suite that runs and generates HTML reports using Wes McKinney’s vbench framework, to which I had to make some (useful, I hope) additions.

    What it looks like now

    You ...

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