November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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TensorForest Estimator
TensorForest is a highly scalable implementation of random forests built by combining a variety of online HoeffdingTree algorithms with the extremely randomized approach.
Google published the details of the TensorForest implementation in the following paper: TensorForest: Scalable Random Forests on TensorFlow by Thomas Colthurst, D. Sculley, Gibert Hendry, Zack Nado, presented at Machine Learning Systems Workshop at the Conference on Neural Information Processing Systems (NIPS) 2016. The paper is available at the following link: https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxtbHN5c25pcHMyMDE2fGd4OjFlNTRiOWU2OGM2YzA4MjE.
TensorForest estimators are used to implementing the following algorithm: ...
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