10.7 Meeting Videos

10.7.1 Cohort 1

Meeting chat log
00:10:27    pavitra:    hahaha..look at Jon resampling his wine 
00:10:38    Jonathan Trattner:  HAH
00:10:44    pavitra:    1-fold CV
00:11:16    pavitra:    that's bad..jon's test and train sets are the same
00:11:36    pavitra:    HAHAHA...
00:12:05    pavitra:    Let me grab my IPA. Tan, get your Milk stout
00:12:30    Tan Ho: bahaha bottoms up!
00:13:23    Tan Ho: *awkward eyes meme*
00:13:30    pavitra:    lmao
00:30:59    Tyler Grant Smith:  i feel like this deserves experimental support to compare 50 fold cv vs 5fold x10
00:34:35    pavitra:    gotcha…
00:42:34    pavitra:    is this bootstrapping with replacement?
00:43:42    Jon Harmon (jonthegeek):    63.2% 36.8%
00:43:54    pavitra:    2 SDs
00:44:34    Conor Tompkins: @max why is it those numbers
00:45:24    Tan Ho: (or just doubleclick the function lol)
00:45:42    Jonathan Trattner:  Both of those are GAME changers
00:45:43    Tyler Grant Smith:  ive lost the ink on my f2 key i use it so much
00:45:46    Jonathan Trattner:  wowowow
00:45:49    Tan Ho: er, wait, ctrl-click?
00:45:51    pavitra:    yeah - I just discovered "go to function definition" in the code menu myself
00:46:31    Jonathan Trattner:  Productivity boost 🤯
00:46:42    Tan Ho: it's a trap! - admiral ackbar
00:46:52    Tan Ho: (you can end up digging too deep)
00:47:16    pavitra:    tyler is an expert at time series
00:54:03    Tyler Grant Smith:  this seems to be contrary to how hyndman defines it
00:58:01    pavitra:    isn't there a way to dynamically tune your hyperparameters such that it can do it for the defined range and you can see the performance using the control?
00:59:14    Jim Gruman: time series resampling at the tidymodels web site covers `sliding_window()` `sliding_index()` and `sliding_period()` functions. Maybe the book 10.2.4 rolling forecasting could be a little more clear about all three methods
00:59:31    Tyler Grant Smith:  reading the documentation for rolling_origin i think that graphic represents cumulative=FALSE not TRUE.  This agrees with the books code
01:06:24    Jon Harmon (jonthegeek):    lm_res$.extracts[[1]][[1]]
01:07:34    Tyler Grant Smith:  may not be tidy but thats code im used to!
01:09:44    Jonathan Trattner:  Go, Jon, go!
01:10:44    Jim Gruman: thank you Jon!!!!!
01:10:52    Tyler Grant Smith:  step_interact( ~ Gr_Liv_Area:starts_with("Bldg_Type_"))     neat i didnt know you could do that
01:12:29    Tyler Grant Smith:  my models are all organic non-gmo
01:17:36    Joe Sydlowski:  For Conor's question: http://uc-r.github.io/mars
01:17:47    Jonathan Trattner:  Thanks, Jon! Have a great night, everyone!
01:18:14    Joe Sydlowski:  There's a plot with model selection for the autoplot in MARs that shows the metrics 
01:18:19    pavitra:    thanks Jon
01:18:19    Conor Tompkins: Thanks Jon!

10.7.2 Cohort 2

Meeting chat log
00:03:08    Roberto Villegas-Diaz:  I’m using my 4G today, but it’s running really slow, so I won’t turn on my video!
00:03:29    Stephen Holsenbeck: ok 👍
00:22:57    August: FYI this is where the idea comes from: https://otexts.com/fpp3/tscv.html
00:29:12    August: https://robjhyndman.com/papers/cv-wp.pdf
00:35:03    rahul bahadur:  http://appliedpredictivemodeling.com/blog/2014/11/27/vpuig01pqbklmi72b8lcl3ij5hj2qm
00:35:38    Amélie Gourdon-Kanhukamwe (she/they):   Thanks

10.7.3 Cohort 3

Meeting chat log
00:21:50    Ildiko Czeller: https://stats.stackexchange.com/a/386608 about why boostrap resample is pessimistic

10.7.4 Cohort 4

Meeting chat log
00:48:26    Federica Gazzelloni:    laura
00:50:36    Federica Gazzelloni:    Hi @priyanka!
00:51:44    priyanka gagneja:   Hi Federica, I was interested in topic particularly.. so I decided to jump in :) for one off calls ..hope that's ok
00:51:52    Federica Gazzelloni:    thanks!
00:52:08    Federica Gazzelloni:    sure of course!
00:52:38    Ryan Metcalf:   Rolling Forecasting would be similar to Weather Prediction, correct? Using time series data. I’m imagining the radar prediction into the future.
00:52:50    Federica Gazzelloni:    yep