ahead version 0.10.0 in R, Python and Julia; univariate and multivariate time series forecasting.

It’s been almost a month since the last release of our framework for enterprise Shiny applications, so it’s time for Rhino 1.7! This version comes with new rules for the R linter, more consistent loading behavior, and automatic app reloading during development. Read on for the details! Curious about ...

Download data from the R-Universe API with nnetsauce. Automated Machine Learning, Interpretability and prediction intervals using conformal prediction.

If you’re a regular visitor to our blog you may have noticed some recent changes we hope will make it easier to find what you’re looking for (or interesting stuff you weren’t). The blog “home” page, “/blog” now shows a card for every post with title, author, ...

nnetsauce's version 0.17.0 is available

Hyperparameter tuning with GPopt, based on Gaussian processes

In this post, we use Python to improve a simple GLM by insights from a boosted trees model.

Hyperparameter tuning with GPopt, based on Gaussian processes

Greetings, humanists, social and data scientists! Have you ever tried to load a large file in Python or R? Sometimes, when we have file sizes in the order of gigabytes, you may experience problems of performance with your program taking an unusual...