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You claim in the About Section that ThunderGbm provides Fast GBDTs and Random Forests on GPUs. However, your package only contains Gradient Boosting, but NO Random Forest algorithm. If there is Random Forest, could you please provide a code snippet that shows how to create the classifier?
You have provided code example for creating a Gradient Boosting classifier, as below:
from thundergbm import TGBMClassifier
clf = TGBMClassifier()
clf.fit(x, y)
Could you give a similar example for Random Forest?
The text was updated successfully, but these errors were encountered:
You claim in the About Section that ThunderGbm provides Fast GBDTs and Random Forests on GPUs. However, your package only contains Gradient Boosting, but NO Random Forest algorithm. If there is Random Forest, could you please provide a code snippet that shows how to create the classifier?
You have provided code example for creating a Gradient Boosting classifier, as below:
from thundergbm import TGBMClassifier
clf = TGBMClassifier()
clf.fit(x, y)
Could you give a similar example for Random Forest?
The text was updated successfully, but these errors were encountered: