A new chapter for the Matrix Profile in R For a while, tsmp looked quiet. The project was not standing still, though: the Matrix Profile tools for R have been reorganized around a much clearer split between the computational engine and the everyday data-mining interface.
In tsmp 0.5.1, the package that many of us have used for years becomes a pure-R analytical layer. The new matrixprofiler package takes over the computationally intensive work in an optimized C++17 engine.
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It took some time, as you can see in the previous post, but the matrixprofiler package is done!
What does this mean?
The UCR Matrix Pofile is growing, undoubtedly, and the tsmp package is getting almost 700 downloads per month. We decided that we needed to separate the core from the practical usage of Matrix Profile.
So the matrixprofiler package has been born and is focused on having the low-level code (C/C++), for speed and robustness.
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