Class 14: Model Fitting II

April 29, 2020

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Session log

Mike Harms
2020-04-29 08:58:38
In breakout rooms, you’ll need to implement a model fit. I assigned each breakout room a model: 
aerosol_avocet 1
aligned_avocet 2
broker_barnacle 3
dread_dingo    4
flowing_fossa  5
foggy_fossa    6
injured_indri  7
irritate_iguana 8
literary_lion  1
reserve_robin  2
stolen_skunk   3
unequal_uakari 4
wistful_walrus 5
Luis Perez
2020-04-29 09:00:41
**Class started**
Luis Perez
2020-04-29 09:01:05
**Entering breakout rooms**
Luis Perez
2020-04-29 09:05:39
Help! We need a TA! (reply in thread if you need a TA)
Nicole Paterson
2020-04-29 09:05:51
TA?
Luis Perez
2020-04-29 09:06:23
Share one new thing you learned from the 01_fitting-with-least-squaresnotebook? (Reply in thread.)
Natanya Villegas
2020-04-29 09:36:02
I learned that you can perform regressions for many functions for multiple parameters (not just linear).
Luis Perez
2020-04-29 09:07:15
What should we discuss in the main session from the 01_fitting-with-least-squaresnotebook? (Reply in thread).
Natanya Villegas
2020-04-29 09:36:43
How does sum of square residuals contribute to the fit?
Luis Perez
2020-04-29 09:38:30
It's the value that is being minimized by scipy.optimization.least_squares to achieve a better fit
👍1
Polly Poll
2020-04-29 09:08:15
Poll by @Luis Perez
I would rate my understanding of the material in the 01_fitting-with-least-squaresnotebook as:
😱⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ 0
🙁⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ 0
😐███████████ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢11
🙂████████ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢8
😄█████ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢ ⁢5
Tory Herman
2020-04-29 09:08:17
we need a TA in avocet!
Mike Harms
2020-04-29 09:12:41
In the notebook, it says to “Write the SSR and number of parameters on the board”. Since we have no board, please post these as a reply in thread to this message.
Daria Wonderlick
2020-04-29 09:14:05
Model 4: 3 parameters, SSR = 1.99
Laura Desban
2020-04-29 09:26:05
;odel 3: 4 parameters, SSR = 1.82
Natanya Villegas
2020-04-29 09:34:11
Model 8: 3 parameters, SSR = 1.9687498052988073
Nicole Paterson
2020-04-29 09:21:19
TA?!
Heather Foote
2020-04-29 09:27:23
We need a TA in literary lion lease
👍1
Adam Fries
2020-04-29 09:33:35
wistful_walrus: y = a + bx^2 + cx^3 + dx^4; 4 parameters, SSR = 2.19
👍1
Luis Perez
2020-04-29 09:34:53
**Leaving breakout rooms**