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Effects of noise autocorrelation on linear regression. Explicit formulae and a simple simulation. [Read more...]

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Introducing the problem of Selective Inference, illustrated through a simple simulation in R. [Read more...]

Summary Version v0.1.2 of my R package kgrams was just accepted by CRAN. This package provides tools for training and evaluating k-gram language models in R, supporting several probability smoothing techniques, perplexity computations, random text generation and more. Short demo

library(kgrams)
# Get k-gram frequency counts from Shakespeare's "Much Ado About Nothing"
freqs <- kgram_freqs(kgrams::much_ado, N = 4)

# Build modified Kneser-Ney 4-gram model, with discount parameters D1, D2, D3.
mkn <- language_model(freqs, smoother = "mkn", D1 = 0.25, D2 = 0.5, D3 = 0.75)

# Sample sentences from the language model at different temperatures
set.seed(840)
sample_sentences(model = mkn, n = 3, max_length = 10, t = 1)

[1] "i have studied eight or nine truly by your office [...] (truncated output)"
[2] "ere you go : <EOS>"                                                        
[3] "don pedro welcome signior : <EOS>"

sample_sentences(model = mkn, n = 3, max_length = 10, t = 0.1)

[1] "i will not be sworn but love may transform me [...] (truncated output)" 
[2] "i will not fail . <EOS>"                                                
[3] "i will go to benedick and counsel him to fight [...] (truncated output)"

sample_sentences(model = mkn, n = 3, max_length = 10, t = 10)

[1] "july cham's incite start ancientry effect torture tore pains endings [...] (truncated output)"   
[2] "lastly gallants happiness publish margaret what by spots commodity wake [...] (truncated output)"
[3] "born all's 'fool' nest praise hurt messina build afar dancing [...] (truncated output)"

NEWS Overall Software Improvements ... [Read more...]

Introduction Following my previous post on how to use your R-universe API to automatically generate a list of the packages on your R-universe, I started working on a simple R client to interact with such APIs. For those who missed it, R-universe is ... [Read more...]

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