intuition - What is perplexity? - Cross Validated
So perplexity represents the number of sides of a fair die that when rolled, produces a sequence with the same entropy as your given probability distribution. Number of States OK, so now that …
information theory - Calculating Perplexity - Cross Validated
In the Coursera NLP course , Dan Jurafsky calculates the following perplexity: Operator(1 in 4) Sales(1 in 4) Technical Support(1 in 4) 30,000 names(1 in 120,000 each) He says the …
Intuition behind perplexity parameter in t-SNE
Nov 28, 2018 · The perplexity can be interpreted as a smooth measure of the effective number of neighbors. The performance of SNE is fairly robust to changes in the perplexity, and typical …
How to find the perplexity of a corpus - Cross Validated
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clustering - Why does larger perplexity tend to produce clearer ...
Mar 28, 2019 · The larger the perplexity, the more non-local information will be retained in the dimensionality reduction result. Yes, I believe that this is a correct intuition. The way I think …
Perplexity formula in the t-SNE paper vs. in the implementation
Mar 11, 2019 · The perplexity formula in the official paper of t-SNE IS NOT the same as in its implementation. In the implementation (MATLAB): % Function that computes the Gaussian …
Inferring the number of topics for gensim's LDA - perplexity, CM, …
Jan 12, 2018 · Having negative perplexity apparently is due to infinitesimal probabilities being converted to the log scale automatically by Gensim, but even though a lower perplexity is …
machine learning - Why does lower perplexity indicate better ...
The perplexity, used by convention in language modeling, is monotonically decreasing in the likelihood of the test data, and is algebraicly equivalent to the inverse of the geometric mean …
Word perplexity on a subword language model - Cross Validated
Apr 12, 2019 · (In natural language processing, when we say 'perplexity', we implicitly mean 'perplexity per word'. Being explicit about those last two words would make things a lot …
How to determine parameters for t-SNE for reducing dimensions?
At a high level, perplexity is the parameter that matters. It's a good idea to try perplexity of 5, 30, and 50, and look at the results. But seriously, read How to Use t-SNE Effectively. It will make …