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Questions tagged [mlops]

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How to automatically trigger model retraining for object detection models in case of data drift?

I have fine-tuned a pre-trained Yolov8 model on my dataset of labelled containers in a warehouse conveyor belt (image example here) . I am working to develop an MLOps project for my project portfolio, ...
agpsuai's user avatar
  • 11
0 votes
0 answers
18 views

model versioning and validation of online models

While training an online model, usually we use progressive validation https://maxhalford.github.io/blog/online-learning-evaluation/. My question is what we should do when we detected performance ...
koch's user avatar
  • 101
3 votes
2 answers
80 views

Why business experts should prefer state-of-the-art deep neural networks over simpler models? [closed]

I have encountered this pattern for a long time (5+ years). So many professionals come with an interesting domain-specific problem, and they demand using state-of-the-art deep learning models: take it ...
Eduard's user avatar
  • 211
0 votes
2 answers
27 views

How to filter out class for which the model has not been trained in ml web app?

I have developed an python based ml web app. It gives details of the book from a image of book cover. Problem: When I upload the book cover image then it works but when i click image of any random ...
Durgendra's user avatar
-1 votes
1 answer
121 views

When is it better to utilize machine learning over heuristics?

I learned that 87% of machine learning projects fail due to these five pitfalls: the scope of the project is too big; the project’s scope increased in size as the project progressed—e.g., scope creep;...
Lerner Zhang's user avatar
0 votes
1 answer
65 views

How can batch prediction make drift monitoring easier than online prediction?

In this video, I learned that drift monitoring would be easier in batch prediction than that in online prediction: But I don't know why and I cannot find any information about it googling. In my ...
Lerner Zhang's user avatar
2 votes
2 answers
184 views

How will MLOps and lifelong learning be complementary?

According to [1], in MLOps, continuous training is a new property, unique to ML systems, that's concerned with automatically retraining and serving the models. While lifelong/incremental learning ...
Lerner Zhang's user avatar