Comments (9)
You can give as many +1 as you want, FTRL is not gonna implement itself :b
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For large datasets, we typically tend to use online learning and FTRL is known to do well because of the adaptive learning rate scheme and it's ability to activate a co-ordinate only after a category has been seen a good number of times in training data. In many competitions on Kaggle, I have seen FTRL doing far better than SGD and I believe it's a good algorithm to add to this library!
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What's your motivation?
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+1 for FTRL
from lightning.
+1 for FTRL
from lightning.
+1 for FTRL
@mblondel May I try this?
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+1 for FTRL
from lightning.
+1 for FTRL
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Any processing now ?
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