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 we have an …
clustering - Why does larger perplexity tend to produce clearer ...
Mar 28, 2019 · Why does larger perplexity tend to produce clearer clusters in t-SNE? By reading the original paper, I learned that the perplexity in t-SNE is 2 2 to the power of Shannon entropy of the …
Comparing Perplexities With Different Data Set Sizes
Would comparing perplexities be invalidated by the different data set sizes? No. I copy below some text on perplexity I wrote with some students for a natural language processing course (assume log log is …
How to find the perplexity of a corpus - Cross Validated
If we want to know the perplexity of the whole corpus C C that contains m m sentences and N N words, we have to find out how well the model can predict all the sentences together.
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 Perplexity is 53...
Inferring the number of topics for gensim's LDA - perplexity, CM, AIC ...
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 desired, the lower …
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 values …
autoencoders - Codebook Perplexity in VQ-VAE - Cross Validated
Jan 5, 2023 · For example, lower perplexity indicates a better language model in general cases. The questions are (1) What exactly are we measuring when we calculate the codebook perplexity in VQ …
Perplexity and cross-entropy for n-gram models
Jun 16, 2017 · Yes, the perplexity is always equal to two to the power of the entropy. It doesn't matter what type of model you have, n-gram, unigram, or neural network. There are a few reasons why …
text mining - How to calculate perplexity of a holdout with Latent ...
I'm confused about how to calculate the perplexity of a holdout sample when doing Latent Dirichlet Allocation (LDA). The papers on the topic breeze over it, making me think I'm missing something ob...