11:01
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jenkins-mlpack >
* Ryan Curtin: Refactor for API change... forgot to check this one in.
11:01
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jenkins-mlpack >
* Ryan Curtin: Refactor for different KMeans API.
11:01
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jenkins-mlpack >
* Ryan Curtin: Update and clarify build tutorial, since DEBUG and PROFILE are OFF by default in
11:01
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jenkins-mlpack >
releases.
11:01
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jenkins-mlpack >
* Ryan Curtin: Refactor test to remove overclustering parameter.
11:01
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jenkins-mlpack >
* Ryan Curtin: Remove references to overclustering from tutorial.
11:01
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jenkins-mlpack >
* Ryan Curtin: Remove comment about overclustering.
11:01
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jenkins-mlpack >
* Ryan Curtin: Implement Elkan's algorithm for k-means (it's pretty fast).
11:01
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jenkins-mlpack >
* Ryan Curtin: Refactor k-means significantly. Remove overclustering since I think nobody is
11:01
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jenkins-mlpack >
using it (I don't think it's a very interesting technique) and it may be buggy.
11:01
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jenkins-mlpack >
Speedups for the situation where only cluster centroids are desired.
13:00
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19:45
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jenkins-mlpack >
Starting build #2131 for job mlpack - svn checkin test (previous build: FIXED)
21:16
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jenkins-mlpack >
* Ryan Curtin: Explicit std::sqrt() call.
21:16
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jenkins-mlpack >
* Ryan Curtin: Add a warning if the user wants 0 clusters, because the thing is probably going
21:16
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jenkins-mlpack >
to crash (but maybe for some LloydIterationType that might be what's desired?).
21:16
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jenkins-mlpack >
Starting build #2132 for job mlpack - svn checkin test (previous build: SUCCESS)
22:46
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jenkins-mlpack >
* Ryan Curtin: Refactor ElkanTest and add a test for Hamerly's algorithm.
22:46
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jenkins-mlpack >
* Ryan Curtin: Refactor input arguments so --algorithm is an accepted parameter, which provides
22:46
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jenkins-mlpack >
more flexibility as I add more LloydItreationTypes.
22:46
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jenkins-mlpack >
* Ryan Curtin: Add implementation of Hamerly's algorithm.