This is the first post in a series introducing time-series forecasting with torch. It does assume some prior experience with torch and/or deep learning....
We pick up where the first post in this series left us: confronting the task of multi-step time-series forecasting.
Our first attempt was a workaround...
Today, we continue our exploration of multi-step time-series forecasting with torch. This post is the third in a series.
Initially, we covered basics of recurrent...
Sparklyr 1.6 is now available on CRAN!
To install sparklyr 1.6 from CRAN, run
In this blog post, we shall highlight the following features and enhancements
from...
So far, all torch use cases we’ve discussed here have been in deep learning. However, its automatic differentiation feature is useful in other areas....