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What function in the train.py file is responsible for persisting the trained model?
Suggested Answer: C
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35 comments · newest first
FE
Felix
10 months ago
C seems like it could be related too, but I’m not sure.
HA
Halina
11 months ago
100% agree, B is the one for saving models!
KA
Kanisha
11 months ago
Wait, is it really B? I thought it was something else.
KR
Kristeen
11 months ago
I thought it was A at first, but B makes more sense.
AS
Ashley
11 months ago
Definitely B, that's the save function!
EL
Elina
12 months ago
I definitely recall that `train` is for training the model, but I can't remember if it also handles saving.
CA
Caitlin
12 months ago
I'm a bit confused; I thought `evaluate` might be involved in saving, but now I’m not so sure.
FE
Felicitas
12 months ago
I remember practicing a question about model persistence, and I think it was related to the `save` function too.
MA
Mariann
1 year ago
I think the function responsible for saving the model is probably `save(self)`, but I'm not entirely sure.
CA
Carey
1 year ago
Based on my understanding of model training workflows, the "save" function is usually the one that handles persisting the trained model. So I'm leaning towards option B as the answer.
SA
Sabra
1 year ago
I'm a bit confused by this question. I'm not sure which function in the train.py file would be responsible for persisting the model. I'll need to review the file and the function descriptions more carefully.
DA
Daryl
1 year ago
I'm pretty confident the answer is B. The "save" function is typically used to persist a trained model, so that makes the most sense to me based on the question.
AL
Aleisha
1 year ago
Okay, let me think this through. The options mention "save", "train", and "evaluate" - those all sound like relevant functions. I'll need to double-check the file to see which one is the right answer.
WA
Walker
1 year ago
Hmm, this looks like it's asking about a specific function in the train.py file. I'll need to carefully review the file to see which function is responsible for persisting the trained model.
AV
Avery
1 year ago
I bet the person who wrote this question was having a good laugh. 'Let's see if they can tell the difference between saving and evaluating the model!'
RO
Rosio
1 year ago
C) train(setf. trainmg_directory}
PE
Pearlene
1 year ago
B) save(self)
VA
Valentine
1 year ago
A) evaluate(self, evaluation_directory)
EL
Eloisa
1 year ago
I was going to choose A) evaluate(self, evaluation_directory), but then I reaEttieed that's for evaluating the model, not saving it. Gotta love these tricky certification questions!
BE
Berry
1 year ago
User 3: I agree, B) save(self) is the function responsible for persisting the trained model.
ME
Mel
1 year ago
User 2: Yeah, that makes sense. A) evaluate(self, evaluation_directory) is for evaluating, not saving.
CU
Curt
1 year ago
User 1: I think the correct function is B) save(self)
ET
Ettie
1 year ago
B) save(self) sounds right. I mean, how else would you save the model for later use? Definitely not A) evaluate(self, evaluation_directory).
GL
Gladys
1 year ago
D) __init__(self) is a constructor, not a function for saving the model. Come on, this is a basic Python question!
RU
Ruthann
1 year ago
D) __init_(self)
WI
Willard
1 year ago
C) train(setf. trainmg_directory}
RE
Rebbecca
1 year ago
B) save(self)
FR
Francesco
1 year ago
A) evaluate(self, evaluation_directory)
KR
Kris
1 year ago
I thought it would be C) train(self, training_directory). Isn't that where the model is trained and should be saved?
IV
Ivette
1 year ago
The correct answer is B) save(self). This function is responsible for persisting the trained model.
AM
Amber
1 year ago
Oh, thanks for clarifying. I wasn't sure which function was responsible for that.
FR
Francoise
1 year ago
I think the correct answer is B) save(self). That function is responsible for persisting the trained model.
MA
Malika
2 years ago
I'm not sure, but I think it makes sense that save function would be used for that purpose
BL
Blythe
2 years ago
I agree with Bette, the save function is responsible for persisting the trained model
BE
Bette
2 years ago
I think the answer is B) save(self)