Multivariate Forecasting Evaluation: Nixtla-TimeGPT
www.mdpi.com/2813-0324/11...

By S M Ahasanul Karim, Bahram Zarrin and Niels Buus Lassen
From the 11th International Conference on Time Series and Forecasting

#TimeGPT #TimeSeriesForecasting #GenerativeAI

The quest for a fair TimeGPT benchmark

At the end of yesterday's TimeGPT for mobility post, we concluded that TimeGPT's trainingset probably included a copy of the popular BikeNYC timeseries dataset and that, therefore, we were not looking at a fair comparison. Naturally, it's hard to find […]

Can foundation models outperform classic machine learning models for mobility predictions?

tldr; Maybe. Preliminary results certainly are impressive. Introduction Crowd and flow predictions have been very popular topics in mobility data science. Traditional forecasting methods rely on classic […]

A Look at TimeGPT with nixtlar in R
A first exploration of Nixtla’s TimeGPT, a Transformer-based model for time series forecasting, using the nixtlar R package. Learn how this self-attention architecture works and how to apply it in R […]

A First Look at TimeGPT using nixtlar – R Works TimeGPT is a pre-trained, multi-layer, encoder/decoder transformer model with self-attention mechansims designed specifically for time series forecasting. This post, a revision of the of the post firs...

Great Time Series review by Joseph Rickert.

He shows TimeGPT using nixtlar. I would love to see more use cases with different data sets.

Who's next?

#TimeSeries #rstats #TimeGPT #nixtlar

rworks.dev/posts/revise...