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S Mar 8, 2019 at 20:11 history suggested Oussama He CC BY-SA 4.0
using quotes
Mar 8, 2019 at 19:29 review Suggested edits
S Mar 8, 2019 at 20:11
Feb 26, 2018 at 17:07 vote accept Taimur Islam
Feb 20, 2018 at 14:26 comment added S van Balen TF supports random forest, random forest is a decision tree (a specific type at that), hence TF supports decision trees. But like I said: I'm torn at whether your statement is wrong: Technically it is, but for all practical purposes it is not.
Feb 20, 2018 at 14:10 comment added Green Falcon @SvanBalen I thank you if I really have made a mistake for announcing me but I don't know where I'm wrong. I've said TensorFlow does not support decision trees, which is really the case. Which part I'm wrong?
Feb 20, 2018 at 14:06 comment added S van Balen Tensorflow supports random forrest (as documented by the link you gave), random forrest is a special kind of tree learner. So even though Tensorflow doenst seem to support common learners (CART or C45) and even though it is primarily a library for deep learning, and even though I too would use sklearn, it technically supports a tree learner, making your statement false.
Feb 20, 2018 at 13:57 comment added Green Falcon @SvanBalen I don't understand what you mean.
Feb 20, 2018 at 13:19 comment added S van Balen I'm torn on this: I'm aboard with the reasoning of your quote, but on the other hand: Random Forrest is a kind of tree learner.
Feb 20, 2018 at 12:38 history answered Green Falcon CC BY-SA 3.0