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HyperTools: A Python toolbox for gaining insights into high-dimensional data

174 点作者 schuetze大约 7 年前

6 条评论

sanxiyn大约 7 年前
Quote of the day from HyperTools README <a href="https:&#x2F;&#x2F;github.com&#x2F;ContextLab&#x2F;hypertools" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;ContextLab&#x2F;hypertools</a><p>&quot;To deal with hyper-planes in a 14 dimensional space, visualize a 3D space and say &quot;fourteen&quot; very loudly. Everyone does it.&quot; -- Geoff Hinton
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legel大约 7 年前
Looks neat and wonderful. It’s always impossible to compress all structure from high dimensions to 2D or 3D via something like PCA or t-SNE, and the focus on “geometric” insight is also encouraging. Cool&#x2F;appropriate name too, nice choice of well-supported dependencies, and minimalist design are all appealing. This could become a go-to toolkit for early stage exploration, while it’s also pretty and smart enough to wow a coworker &#x2F; investor. Hope it continues to really develop conceptually and practically!
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Myrmornis大约 7 年前
The first example<p><a href="http:&#x2F;&#x2F;hypertools.readthedocs.io&#x2F;en&#x2F;latest&#x2F;auto_examples&#x2F;plot_sotus.html#sphx-glr-auto-examples-plot-sotus-py" rel="nofollow">http:&#x2F;&#x2F;hypertools.readthedocs.io&#x2F;en&#x2F;latest&#x2F;auto_examples&#x2F;plo...</a><p>seems a little disappointing -- it seems to exemplify more than solve the problems of representing 3D data on a 2D screen. (Is it interactively rotatable or something? I did run it locally in a notebook and it didn&#x27;t appear to be.)
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gaius大约 7 年前
EdX has a good course on this (tho&#x27; taught in R) <a href="https:&#x2F;&#x2F;www.edx.org&#x2F;course&#x2F;high-dimensional-data-analysis-harvardx-ph525-4x-1" rel="nofollow">https:&#x2F;&#x2F;www.edx.org&#x2F;course&#x2F;high-dimensional-data-analysis-ha...</a>
Blahah大约 7 年前
I can&#x27;t see anything in the tutorials or examples that makes this a good library for visualisation of high-dimensional data. It seems somewhat equivalent to base graphics in R, which is <i>much</i> less useful for visualising high-dimensional data than anything based on Wilkinson&#x27;s grammar of graphics, like ggplot2 in R.
bagrow大约 7 年前
Would this be useful for word vectors&#x2F;embeddings?