intuition - What is perplexity? - Cross Validated
I came across term perplexity which refers to the log-averaged inverse probability on unseen data. Wikipedia article on perplexity does not give an intuitive meaning for the same. This perplexity
machine learning - Why does lower perplexity indicate better ...
This has less to do with perplexity, and more to do with cross-validation and test perplexity specifically. Here's a fuller excerpt from the paper, emphasis mine: The perplexity, used by …
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 $2$ to the power of Shannon …
Perplexity and cross-entropy for n-gram models
Jun 16, 2017 · Trying to understand the relationship between cross-entropy and perplexity. In general for a model M, Perplexity (M)=2^entropy (M) . Does this relationship hold for all …
Measuring perplexity over a limited domain in an LLM
Aug 13, 2023 · There is a lot of work doing recommendations and measuring AUROC or ranking metrics like NDCG, but nothing reports loglikelihood over test set or preplexity. The challenge …
How to determine parameters for t-SNE for reducing dimensions?
I will cite the FAQ from . First for perplexity: How should I set the perplexity in t-SNE? The performance of t-SNE is fairly robust under different settings of the perplexity. The most …
latent dirichlet alloc - Choosing the number of topics in topic ...
Apr 26, 2019 · In general, there is no guarantee that the data indicate a clear number of topics. This is very realistic. You can have meaningful topics at broader and finer levels, and there is …
Choosing the hyperparameters using T-SNE for classification
In as specific problem that I work with (a competition) I have the follwoing setting: 21 features (numerical on [0,1]) and a binary output. I have approx 100 K rows. The setting seems to be …
Inferring the number of topics for gensim's LDA - perplexity, CM, …
Jan 12, 2018 · I am confused as to how to interpret the LDA's perplexity fluctuations with different numbers of topics, in the endeavour of determining the best number of topics. Additionally, I …
Intuition behind perplexity parameter in t-SNE - Cross Validated
Nov 28, 2018 · While reading Laurens van der Maaten's paper about t-SNE we can encounter the following statement about perplexity: The perplexity can be interpreted as a smooth measure …