diffusion maps cookbook and converter factory #4340
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| Diffusion Maps | ||
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| Diffusion Maps is a non-linear dimensionality reduction method that uses |
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Maybe shorten the sentence slightly.
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Could you add a data file for the new example? |
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| Diffusion Maps is a non-linear dimensionality reduction method that uses | ||
| eigenfunctions of Markov matrices to construct coordinates called diffusion maps | ||
| that can be used to generate efficient representations of complex geometric structures. |
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Is there a key equation that we could show here? You could shop around the web to see what other libraries use to describe this
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@karlnapf Travis is failing.... any ideas ? :) |
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| Example | ||
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| we create CDenseFeatures (RealFeatures, here 64 bit float values). |
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| .. sgexample:: diffusionmaps.sg:create_features | ||
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| We create the :sgclass:`CDiffusionMaps` instance, and set its parameters. The diffusion kernel :math: `k` must satisfy |
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We create "a".
Also pls start new sentences in new lines
| We create the :sgclass:`CDiffusionMaps` instance, and set its parameters. The diffusion kernel :math: `k` must satisfy | ||
| the following properties: | ||
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| 1. :math: `k` is symmetric :math: `{\bf k}(x, y) = {\bf k}(y, x)` |
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this should be said in the intro
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| .. sgexample:: diffusionmaps.sg:set_parameters | ||
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| Then we apply DiffusionMaps, which gives us the distance embeddings. |
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remove "the"
Also, please spell it "diffusion maps"
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LGTM. @vinx13 did you change any of the API here? Do we need to change anything for that? |
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No idea why windows fails, restarted. |
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Yes, we have new api in feature/transformers branch. Something like |
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Ah ok that is a feature branch then. |
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| #![create_features] | ||
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| #![set_parameters] | ||
| Kernel k = kernel("GaussianKernel", cache_size=10, log_width=10.0) |
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pls remove the cache size. Sorry didnt spot this earler
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Very useful stuff, thanks! :) |
* diffusion maps cookbook and converter factory * data update
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