| Name | Date | Size | |
|---|---|---|---|
| .. | 10-Aug-2018 | 4 KiB | |
| __init__.py | 10-Aug-2018 | 1,007 | |
| BUILD | 10-Aug-2018 | 17.9 KiB | |
| estimator_batch/ | 10-Aug-2018 | 4 KiB | |
| examples/ | 10-Aug-2018 | 4 KiB | |
| kernels/ | 10-Aug-2018 | 4 KiB | |
| lib/ | 10-Aug-2018 | 4 KiB | |
| ops/ | 10-Aug-2018 | 4 KiB | |
| proto/ | 10-Aug-2018 | 4 KiB | |
| python/ | 10-Aug-2018 | 4 KiB | |
| README.md | 10-Aug-2018 | 398 | |
| resources/ | 10-Aug-2018 | 4 KiB |
README.md
1# TF Boosted Trees (TFBT) 2 3TF Boosted trees is an implementation of a gradient boosting algorithm with 4trees used as weak learners. 5 6## Examples 7Folder "examples" demonstrates how TFBT estimators can be used for various 8problems. Namely, it contains: 9* binary_mnist.py - an example on how to use TFBT for binary classification. 10* mnist.py - a multiclass example. 11* boston.py - a regression example.