Articles by Business Science

Tidy Time Series Forecasting in R with Spark

October 19, 2021 | Business Science

I’m SUPER EXCITED to show fellow time-series enthusiasts a new way that we can scale time series analysis using an amazing technology called Spark! Without Spark, large-scale forecasting projects of 10,000 time series can take days to run because of long-running for-loops and the need to test many models on ...
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Tidy Parallel Processing in R with furrr

September 13, 2021 | Business Science

Parallel processing in the tidyverse couldn’t be easier with the furrr package. If you are familiar with the purrr::map() function, then you’ll love furrr::future_map(), which we’ll use in this FREE R-Tip training to get a 2.6X speed-up in our code. R...
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Forecasting Many Time Series (Using NO For-Loops)

July 18, 2021 | Business Science

Spending too much time on making iterative forecasts? I’m super excited to introduce the new panel data forecasting functionality in modeltime. It’s perfect for forecasting many time series at once without for-loops saving you time ⏱️ and aggravation ?. Just say NO to for-loops for forecasting. Fitting many time series ...
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Hyperparameter Tuning Forecasts in Parallel with Modeltime

June 16, 2021 | Business Science

Speed up forecasting with modeltime’s new built-in parallel processing. Fitting many time series models can be an expensive process. To help speed up computation, modeltime now includes parallel processing, which is support for high-performance computing by spreading the model fitting steps across multiple CPUs or clusters. Highlights We now ...
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