Data Science Stack Exchange
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Questions tagged [retraining]

6 questions
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How to retrain your model when the old one impacted your new data?

There are several tutorials and courses explaining how to monitor a model, discussing data drift and the need to retrain our predictive models occasionally. However, when I think about it, I encounter a problem that I don't know how to deal with,…
Andrew Joplh
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Is it a good idea to retrain ML model on new observations with labels predicted by model itself?

in the company where I work we retrain ML models regularly every day. Now we started to experiment with retraining a model by new observations with labels predicted by model itself. I've tried to search on the Internet if someone else uses this…
user60175
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How do you retrain a model as new data comes in?

I'm just curious about real ML projects on production. I was wondering what is the way to go to retrain your models when you get new data? for example, let's suppose you've built a model with 2023 January data. When February's data comes in, do you…
Dani
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Using the results of clustering to retrain a neural network

I am following and expanding upon previous work from the winner of the Melanoma Classification from here. The dataset has 9 classes. The competition is only interested in the one class (Melanoma). I have taken the feature outputs (pre-final layer)…
Adrian B
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Improving RMSE Accuracy by Normalizing with Pixel Size and ; Is It Possible?

I use the Transport of Intensity Equation (TIE) algorithm to retrieve the phase of an image. To evaluate the performance of this method, I use the RMSE (Root Mean Square Error). However, the RMSE values do not seem to accurately represent the…
Heba
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How to proceed when training data change frequently (in production)?

I'm working with a Recommendation System that would take as parameters a bunch of "tweets" a user see during his navegation on a mobile app. Every tweet has a property, like a category (which is a input from the Operational team). My recommedation…
Antonio Carlos
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