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  1. 27 May, 2019 1 commit
  3. 15 May, 2019 2 commits
  5. 08 May, 2019 1 commit
  7. 06 May, 2019 1 commit
  9. 05 May, 2019 1 commit
  11. 01 May, 2019 1 commit
    • Nikita Titov's avatar
      [python] added plot_split_value_histogram function (#2043) · 611cf5d4
      Nikita Titov authored 
      * added plot_split_value_histogram function

* updated init module

* added plot split value histogram example

* added plot_split_value_histogram to notebook

* added test

* fixed pylint

* updated API docs

* fixed grammar

* set y ticks to int value in more sufficient way
      611cf5d4
  13. 30 Apr, 2019 2 commits
  15. 29 Apr, 2019 1 commit
  17. 28 Apr, 2019 1 commit
  19. 22 Apr, 2019 1 commit
  21. 19 Apr, 2019 2 commits
  23. 18 Apr, 2019 1 commit
  25. 16 Apr, 2019 1 commit
    • kenmatsu4's avatar
      [python] add flag of displaying train loss for lgb.cv() (#2089) · ca85b679
      kenmatsu4 authored 
      * [python] displaying train loss during training with lgb.cv

* modifying only display running type when disp_train_loss==True

* Add test for display train loss

* del .idea files

* Rename disp_train_loss to show_train_loss and revise comment.

* Change aug name show_train_loss -> eval_train_metric , and add a test item.

* Modifying comment of eval_train_metric.
      ca85b679
  27. 13 Apr, 2019 1 commit
  29. 11 Apr, 2019 1 commit
  31. 10 Apr, 2019 1 commit
  33. 25 Mar, 2019 1 commit
    • kenmatsu4's avatar
      [python] Use first_metric_only flag for early_stopping function. (#2049) · 011cc90a
      kenmatsu4 authored 
      * Use first_metric_only flag for early_stopping function.

In order to apply early stopping with only first metric, applying first_metric_only flag for early_stopping function.

* upcate comment

* Revert "upcate comment"

This reverts commit 1e75a1a415cc16cfbe795181e148ebfe91469be4.

* added test

* fixed docstring

* cut comment and save one line

* document new feature
      011cc90a
  35. 20 Mar, 2019 1 commit
  37. 14 Mar, 2019 1 commit
  39. 09 Mar, 2019 1 commit
  41. 07 Mar, 2019 1 commit
  43. 26 Feb, 2019 1 commit
    • remcob-gr's avatar
      Add ability to move features from one data set to another in memory (#2006) · 219c943d
      remcob-gr authored 
      * Initial attempt to implement appending features in-memory to another data set

The intent is for this to enable munging files together easily, without needing to round-trip via numpy or write multiple copies to disk.
In turn, that enables working more efficiently with data sets that were written separately.

* Implement Dataset.dump_text, and fix small bug in appending of group bin boundaries.

Dumping to text enables us to compare results, without having to worry about issues like features being reordered.

* Add basic tests for validation logic for add_features_from.

* Remove various internal mapping items from dataset text dumps

These are too sensitive to the exact feature order chosen, which is not visible to the user.
Including them in tests appears unnecessary, as the data dumping code should provide enough coverage.

* Add test that add_features_from results in identical data sets according to dump_text.

* Add test that booster behaviour after using add_features_from matches that of training on the full data

This checks:
- That training after add_features_from works at all
- That add_features_from does not cause training to misbehave

* Expose feature_penalty and monotone_types/constraints via get_field

These getters allow us to check that add_features_from does the right thing with these vectors.

* Add tests that add_features correctly handles feature_penalty and monotone_constraints.

* Ensure add_features_from properly frees the added dataset and add unit test for this

Since add_features_from moves the feature group pointers from the added dataset to the dataset being added to, the added dataset is invalid after the call.
We must ensure we do not try and access this handle.

* Remove some obsolete TODOs

* Tidy up DumpTextFile by using a single iterator for each feature

This iterators were also passed around as raw pointers without being freed, which is now fixed.

* Factor out offsetting logic in AddFeaturesFrom

* Remove obsolete TODO

* Remove another TODO

This one is debatable, test code can be a bit messy and duplicate-heavy, factoring it out tends to end badly.
Leaving this for now, will revisit if adding more tests later on becomes a mess.

* Add documentation for newly-added methods.

* Fix whitespace issues identified by pylint.

* Fix a few more whitespace issues.

* Fix doc comments

* Implement deep copying for feature groups.

* Replace awkward std::move usage by emplace_back, and reduce vector size to num_features rather than num_total_features.

* Copy feature groups in addFeaturesFrom, rather than moving them.

* Fix bugs in FeatureGroup copy constructor and ensure source dataset remains usable

* Add reserve to PushVector and PushOffset

* Move definition of Clone into class body

* Fix PR review issues

* Fix for loop increment style.

* Fix test failure

* Some more docstring fixes.

* Remove blank line
      219c943d
  45. 21 Feb, 2019 1 commit
  47. 04 Feb, 2019 1 commit
  49. 02 Feb, 2019 2 commits
  51. 30 Jan, 2019 1 commit
    • Guolin Ke's avatar
      fix nan in eval results (#1973) · feeaf38f
      Guolin Ke authored 
      * always save the score of the first round in early stopping

fix #1971

* avoid using std::log on non-positive numbers

* remove unnecessary changes

* add tests

* Update test_sklearn.py

* enhanced tests
      feeaf38f
  53. 27 Jan, 2019 2 commits
  55. 26 Jan, 2019 1 commit
  57. 23 Jan, 2019 1 commit
  59. 20 Jan, 2019 2 commits
  61. 20 Dec, 2018 2 commits
  63. 10 Dec, 2018 1 commit
  65. 25 Nov, 2018 1 commit