Does this feature store concept works only where it has tabular data features or can it be used for tasks related to computer vision(images) and nlp(text files)
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The Key value pairs in FS used for Model serving will have a fixed subset of features out of all features. How can we call another model with different features using the same Feature Store.
The value in the hash table typically contains all features. For Model Serving, we can pick those those features that our model needs from the full set of features.
Great Explanation!!
Does this feature store concept works only where it has tabular data features or can it be used for tasks related to computer vision(images) and nlp(text files)
You can use it for text and image features also, You can simply store the deep-learning based dense features in the feature-store.
Good one.
Can u suggest me from where/which video I need to start to learn AI from basics, gotta interest on watching this 👆video as I am entirely a fresher......
Congratulating u for making good replies to those who questions u....
Please check this video: th-cam.com/video/7CH8Mb6OH3k/w-d-xo.html
You can visit our website AppliedAICourse.com and check out the detailed syllabus and 40+ hours of free videos and live sessions.
Awesome explaination
The Key value pairs in FS used for Model serving will have a fixed subset of features out of all features. How can we call another model with different features using the same Feature Store.
The value in the hash table typically contains all features. For Model Serving, we can pick those those features that our model needs from the full set of features.
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