Shafi2016

First of all, I removed old version of sl3 and reinstall it using the link you provided. I checked again using the my own data/codes and this example https://github.com/tlverse/sl3_lecture/blob/master/sl3_timeseries.Rmd. When...

> Pascal GPUs Thank you @bdice. I have GeForce GTX 1050 Ti. So used [driver](https://www.nvidia.com/Download/driverResults.aspx/190552/en-us/ ). By the way how to know which hardware supports the CuDF. I followed this...

> The WSL2 requirements are listed here: https://docs.nvidia.com/cuda/wsl-user-guide/index.html#known-limitations-for-linux-cuda-apps The RAPIDS requirements are documented here: https://rapids.ai/start.html#requirements From [#9427 (comment)](https://github.com/rapidsai/cudf/issues/9427#issuecomment-975902493) it looks like we may need to update the requirements page specifically...

Thank you, @taureandyernv, for the detailed note. It is indeed encouraging. Let me do the experiments.

Thanks a lot: Yes tried to change the number of bins but it did not work as: sns.distplot(stats, hist=True, kde=False, bins=int(30/2), color = 'blue', hist_kws={'edgecolor':'black'}) I checked with XGBoost Classifier...

I also ploted the histogram of Prediction (XGBoost regression) It seems fine: 

Thank you for steps. It works fine locally with me too. I am having issue when deploying it on shiny server.

I am working on a similar issue, I think it will depend on the "`resamples`" strategy. If you use tscv from timetk or https://rsample.tidymodels.org/reference/slide-resampling.html#examples-1 will give us different results. `modeltime_fit_resamples()`...

If we want to extract other models from the leaderboard. We can do as ``` model_ids

@AlbertoAlmuinha I think you are getting different results because you could not run the XGBoost model. H2O XGBoost does not run on windows. Web-based H2O Cluster (http://localhost:54321/flow) should be running...