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Published 20 hours ago • verified publisher icon antononcube
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Mathematica implementations of machine learning algorithms used for prediction and personalization.

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Please update documentation of tries.pdf to newest package version

dzviovich avatar dzviovich

LinearSolve::luc: Result for LinearSolve of badly conditioned matrix {{7.61902,0.0118411,0.00677937,0.10901,0.0815707,0.0166805,0.184858,0.0340636,0.0288654,0.0182311,<<246>>},<<9>>,<<246>>} may contain significant numerical errors.

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Thanks for creating these Mathematica packages. When I run NMF on a GPT-2 embedding matrix, I get warnings from LinearSolve. I tried the following RegularizationParameters: 0.01, 0.1, 1, 2. I...

dbl001 avatar dbl001

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Mathematica implementations of machine learning algorithms used for prediction and personalization.

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