12.14 Meeting Videos

12.14.1 Cohort 1

Meeting chat log
00:11:27    Jon Harmon (jonthegeek):    usethis::use_package("patchwork")
00:23:12    Jon Harmon (jonthegeek):    @jim Which chapter are you going to present: 13? 14? 15? 😊
00:27:52    Jim Gruman: :) sure, 13 sounds good
00:29:42    Jon Harmon (jonthegeek):    Woot!
00:29:57    Jordan Krogmann:    1, 1000, 5000 is the correct answer
00:31:11    Jon Harmon (jonthegeek):    Ok, Jim! You're PRed into the README, no take-backsies!
00:33:44    Tan Ho: fixed sorry
00:35:29    Tony ElHabr:    i'm sorry but are these python generated graphs?
00:35:33    Tony ElHabr:    unforgiveable
00:36:06    Tan Ho: gg
00:36:12    Tan Ho: i'm out
00:36:54    Jon Harmon (jonthegeek):    Ok, after Jim everyone who's here will have gone at least once! Except wait Tan never actually went did he?????
00:37:45    Tony ElHabr:    CALL HIM OUT
00:38:03    Jon Harmon (jonthegeek):    TAN WHAT CHAPTER ARE YOU PRESENTING??? 14, right?
00:39:01    Tan Ho: *awkwardly looking around after going MIA from the book club since chapter 9*
00:39:43    Tony ElHabr:    as long as tan gives us a killer review at the end of this all, then i'll give him a pass
00:40:03    Jon Harmon (jonthegeek):    Fair! Tan *is* the master of the review week!
00:40:21    Jon Harmon (jonthegeek):    I pinged Max on the Slack to see if we should do a review after 14, or after 15, or later, or what.
00:40:55    Tony ElHabr:    how can we do a proper review if we never stop learning?
00:41:14    Tan Ho: I might  be more apt to do 15, I think?
00:41:23    Jon Harmon (jonthegeek):    Yeah, this one is tricky 'cuz I'm not sure when it ends 🙃
00:41:53    Tony ElHabr:    tan picks chapter 15 so he can have 3 weeks to prep :P
00:42:02    Tan Ho: two weeks to catch up and one week to prep!
00:42:21    Tan Ho: okay I lied twenty days to catch up and one day to prep, let's be honest
00:42:46    Tony ElHabr:    21 days to catch up cuz you're going to live code
00:42:51    Tan Ho: fair!
00:42:56    Tan Ho: that part don't scare me
00:54:23    Jordan Krogmann:    Thanks andy!
00:54:23    Tan Ho: if 16 isn't written by the time I present we can probably just review lol

12.14.2 Cohort 2

Meeting chat log
00:13:12    Luke Shaw:  sounds cool :)
00:13:26    Kevin Kent: For sure!
00:34:14    August: https://www.tidymodels.org/learn/develop/models/
00:34:21    August: build your own engine]
00:34:40    August: that's what the link is sorry.
00:39:39    Amélie Gourdon-Kanhukamwe (she/they):   Hear hear!
00:43:23    August: I've added it to the slack group
00:43:36    August: come learn bayes!!! 
00:43:47    Kevin Kent: Yeah I’m trying to convert :)
00:54:30    Kevin Kent: https://matrixprofile.org/
00:55:53    August: found it! 
00:55:55    August: https://www.tidymodels.org/learn/develop/recipes/
00:56:48    Stephen Holsenbeck: Good to see you too, thank you!
00:56:49    Luke Shaw:  thanks Janita - see you all next week :)
00:56:51    Amélie Gourdon-Kanhukamwe (she/they):   Sorry all, been working all night and I am knackered, but thanks Janita!

12.14.3 Cohort 3

Meeting chat log
00:36:03    Federica :  finalize() with {dial}  take a parameter object and modify the unknown parts
00:44:40    Daniel Chen (TA), NYC:  https://dials.tidymodels.org/
00:49:04    jiwan:  i think you're muted, couldn't hear you
00:52:24    Federica :  I was wondering about the regularization_factor()
00:54:21    jiwan:  These parameters are auxiliary to random forest models that use the "ranger" engine. They correspond to tuning parameters that would be specified using set_engine("ranger", ...).
00:59:27    jiwan:  dials::mtry()
# Randomly Selected Predictors (quantitative)
Range: [1, ?]
01:00:29    jiwan:  regularization.factor = tune("reg")
01:00:42    jiwan:  regularization.factor = tune()
01:03:32    jiwan:  > dials::regularization_factor
function (range = c(0, 1), trans = NULL) 
{
    new_quant_param(type = "double", range = range, inclusive = c(TRUE, 
        TRUE), trans = trans, default = 1, label = c(regularization_factor = "Gain Penalization"), 
        finalize = NULL)
}

12.14.4 Cohort 4