xgboost

Author SHA1 Message Date

Author	SHA1	Message	Date
Philip Hyunsu Cho	751160b69c	Upgrade to CUDA 10.0 (#5649 ) Co-authored-by: fis <jm.yuan@outlook.com>	2020-05-11 18:04:47 +08:00
Jiaming Yuan	8d06878bf9	Deterministic GPU histogram. (#5361 ) * Use pre-rounding based method to obtain reproducible floating point summation. * GPU Hist for regression and classification are bit-by-bit reproducible. * Add doc. * Switch to thrust reduce for `node_sum_gradient`.	2020-03-04 15:13:28 +08:00
Jiaming Yuan	298ebe68ac	[Breaking] Remove `learning_rates` in Python. (#5155 ) * Remove `learning_rates`. It's been deprecated since we have callback. * Set `before_iteration` of `reset_learning_rate` to False to preserve the initial learning rate, and comply to the term "reset". Closes #4709. * Tests for various `tree_method`.	2019-12-24 14:25:48 +08:00

Philip Hyunsu Cho

751160b69c

Upgrade to CUDA 10.0 (#5649 )

Co-authored-by: fis <jm.yuan@outlook.com>

2020-05-11 18:04:47 +08:00

Jiaming Yuan

8d06878bf9

Deterministic GPU histogram. (#5361 )

* Use pre-rounding based method to obtain reproducible floating point
  summation.
* GPU Hist for regression and classification are bit-by-bit reproducible.
* Add doc.
* Switch to thrust reduce for `node_sum_gradient`.

2020-03-04 15:13:28 +08:00

Jiaming Yuan

298ebe68ac

[Breaking] Remove learning_rates in Python. (#5155 )

* Remove `learning_rates`.

It's been deprecated since we have callback.

* Set `before_iteration` of `reset_learning_rate` to False to preserve 
  the initial learning rate, and comply to the term "reset".

Closes #4709.

* Tests for various `tree_method`.

2019-12-24 14:25:48 +08:00

3 Commits