Meeting chat logs
# 2021-05-11 Review
00:26:16 Jon Harmon (jonthegeek): https://www.tmwr.org/recipes.html#a-simple-recipe-for-the-ames-housing-data#GNaFeX:~:text=The%20function%20all_nominal_predictors
00:39:19 Jim Gruman: library(InformationValue) was what we used to use to set the cutoff for glm models
00:40:10 Tony ElHabr: nice
00:42:01 Asmae Toumi: Maybe the changes were the friends we made all along
00:42:03 tan_iphone: Lmao hiya!
00:46:14 tan_iphone: Cookbook!
00:50:02 Asmae Toumi: We could just find cool data sets and kick the shit together
00:50:51 Asmae Toumi: I can volunteer for the first one
00:50:58 Asmae Toumi: It would be on workflow sets and stacks
00:51:11 Asmae Toumi: yessss
00:51:35 Asmae Toumi: Yessssssssss
00:51:46 Asmae Toumi: Together??
00:52:05 Asmae Toumi: Lmao straight up
# 2021-05-18 Q&A
00:09:55 pavitra: your hair looks cute, Julia
00:10:36 Julia Silge: Thank you so much!! My bangs are back
00:24:50 Bryan Shalloway: +1 on that function!
00:27:50 Tony ElHabr: sandwich!
00:27:55 Tony ElHabr: putting all the ingredients together
00:47:13 Kevin Kent: Sounds like a lot of mind mapping (to make sense of all of that)
00:47:30 Jon Harmon (jonthegeek): mind_map()
00:47:48 Kevin Kent: Oh snap, that’s good :)
00:51:15 Julia Silge: https://github.com/tidymodels/dials/issues
00:54:35 Julia Silge: https://github.com/tidymodels/dials/blob/master/.github/CONTRIBUTING.md
00:54:39 Jon Harmon (jonthegeek): https://www.tidymodels.org/contribute/
00:56:28 Tony ElHabr: did my first pull request at a dev day
00:58:54 Apoorva Srinivasan: For me personally, julia your blogs have helped me learn about the functions in todymodels works the most
00:59:19 Kevin Kent: +1 to that and the screencasts
01:01:23 Julia Silge: Thank you so much!
01:02:33 Kevin Kent: One more question - how often do you expect users to write custom step or model functions for their tidymodels code? For instance in sklearn it seems like there is a strong role for custom transformers and esitmators.
01:04:03 Jon Harmon (jonthegeek): https://www.tidymodels.org/learn/develop/
01:04:18 Max Kuhn: Gotta go. Thanks!
01:04:22 Kevin Kent: Cool thanks for the explanation
01:05:16 arjun paudel: Any plan on creating recipe for quantile normalizer similar to quantile_transform in sklearn
01:05:34 Jordan Krogmann: Thanks Julia and Max!
01:05:40 Kevin Kent: This was great, thanks so much
01:07:06 Apoorva Srinivasan: Thank you so much!!
01:07:17 Conor Tompkins: Thanks for the talk!
01:07:25 Jonathan Leslie: Thank you!
01:07:39 shahrdad: Thanks a lot Julia and Max
01:08:18 Asmae Toumi: Thanks queen, and thanks king (if you see the chat Max)
01:08:28 Asmae Toumi: Omg, what dataset? Does someone have a link
01:08:36 Asmae Toumi: I NEED THOSE BEANS
01:08:51 Andrew G. Farina: Thank you both, this was great!
01:08:58 Julia Silge: I will send you the beans!
01:09:21 Asmae Toumi: Hahahahahah thank you
01:09:27 Daniel Lupercio: Thank you Julia, have a good evening everyone!