Bradley Boehmke

Yeah, this seems to be an issue with regression models. See this Stackoverflow discussion: https://stackoverflow.com/questions/37232782/nan-loss-when-training-regression-network. I think there are a few things to consider here: 1. Since you used MSE...

`respect.unordered.factors = "order"` forces string-valued variables (categorical variables) to be treated as “ordered”. This allows ranger to skip any of the expensive re-encoding of such variables as contrasts, dummies or...

@RaymondBalise, here is another slightly simpler approach. This uses the mnist data set provided by Keras. We were going to use this data set initially but decided not to since...

Good catch @vishnugunneri , there is a hidden code chunk that computes `ve` via: ```r ve % names(), PVE = my_pca@model$importance %>% .[2,] %>% unlist(), CVE = my_pca@model$importance %>% .[3,]...

Apparently the ames data set was updated from v0.0.3 to v0.0.4 and the Neighborhood variable now contains a "Hayden_Lake" factor level but there are no observations for that neighborhood when...

Are they looking to pre-specify this group or have the algorithm auto identify groups?

Completely agree. And if we are going to reduce it to just pandas.read_xxx then we could probably wedge it in as part of another module and find a replacement topic...

I don't think it would be a big effort. This is what I did with the Intro to R workshop where I just highlighted the part of the workflow that...

@ledell , @bgreenwell and I are working on an R book with CRC press and have started building the Bookdown format. In fact, our book will hit on some of...

We're open to either approach but our initial thought was #2 - probably easiest to leave these source files as-is and start a new repo by copying one .Rmd over...