The list includes the commits where the major feature added is considered working with the least amount of flaws. This is useful if you are trying to get a specific commit, such as the first properly working commit for categorical support.
Date | Commit | Type | Description |
---|---|---|---|
02/09/2017 | 574d780 | Docs | Readme Badges (Pull Request 878) |
14/08/2017 | 1b8910b | Feature | SHAP Feature Importance (Pull Request 825) |
02/08/2017 | f2bec2b | Feature | Improved categorical feature support (Pull Request 762) |
30/07/2017 | 00cb04a | Feature | Better missing value handle (Pull Request 747) |
13/07/2017 | 3421bc6 | Feature | Automatic Compiler for R-package compilation (Pull Request 664) |
10/07/2017 | ce999b7 | Feature | Random Forest mode (Pull Request 678) |
22/06/2017 | d862b3e | CIntegration | Travis OSX Support (Pull Request 642) |
20/06/2017 | 80c641c | Release | Python pip package (Pull Request 635) |
18/06/2017 | 4d2aa84 | CIntegration | AppVeyor Support (Pull Request 634) |
06/06/2017 | 2c9ce59 | Release | R-package version 0.2 (Pull Request 592) |
05/06/2017 | f98d75f | Feature | Use custom compiler for R-package (Pull Request 584) |
29/05/2017 | 993bbd5 | Parameter | Early Stopping for predictions (Pull Request 559) |
26/05/2017 | 3abff37 | Feature | Parameter to disable missing values (Commit) |
21/05/2017 | 4cf9376 | Feature | Limitation of threads for dataset construction (Commit) |
15/05/2017 | e984b0d | Feature | Support for missing values (Pull Request 516) |
14/05/2017 | 358553d | Docs | Interactive External Website (Pull Request 511) |
04/05/2017 | ca30b8c | Docs | Read The Docs (Pull Request 489) |
28/04/2017 | 8a19834 | Feature | If-Then-Else C++ Trees Generation (Pull Request 469) |
18/04/2017 | 7339ed6 | Feature | Whitespaces Removed from Features support (Pull Request 426) |
14/04/2017 | 9224a9d | Release | GPU support (Pull Request 415) With original (0bb4a82 on 09/04/2017, Pull Request 368) |
13/04/2017 | ab55910 | Feature | Speed Improvements for Prediction (Pull Request 404) |
06/04/2017 | bfb0217 | Feature | Objective Transformations to the Objective (Pull Request 383) |
05/04/2017 | d4c4d9a | Feature | Regression Speed Improvements (Pull Request 381) |
03/04/2017 | b6c973a | Feature | Unloading Memory Fix support for R-package (Pull Request 378) |
17/03/2017 | 06a915a | Feature | RDS support for R pacakge (Pull Request 347) |
10/03/2017 | b7e5f07 | Feature | Support Self-Contained R-package (Pull Request 340) |
02/03/2017 | 4d6ff28 | Feature | Feature Contribution Plot for R-package (Pull Request 330) |
01/03/2017 | 166421e | Feature | Feature Importance Plot for R-package (Pull Request 328) |
27/02/2017 | fddb52f | Feature | Feature Contribution for R-package (Pull Request 323) |
20/02/2017 | 10212b5 | Release | v2 (Pull Request 300) |
12/02/2017 | ea6bc0a | Release | v1 (Pull Request 290) |
02/02/2017 | 8c8ed6c | Feature | Docker support (Pull Request 275) |
30/01/2017 | 4f3e9d8 | Feature | Poisson Objective support (Pull Request 270) |
28/01/2017 | 5856554 | Feature | Plot Metric support for Python-package (Pull Request 266) |
25/01/2017 | 8980fc7 | Feature | Plot Tree support for Python-package (Pull Request 262) With original (fafbcb3 on 25/01/2017, Pull Request 258) |
20/01/2017 | abaefb5 | Feature | Feature Importance Plot for Python-package (Pull Request 237) |
16/01/2017 | a2ae838 | Feature | Categorical Feature support for R-package (Pull Request 229) |
16/01/2017 | 57d5527 | Feature | Pandas Categorical support for Python-package (Pull Request 193) With original (a2ae838 on 12/01/2017, Pull Request 193) |
10/01/2017 | fb732c3 | Feature | Fair Loss Objective support (Pull Request 180) |
09/01/2017 | 27d3eb3 | Feature | Huber Loss Objective support (Pull Request 178) With original (a87af87 on 09/01/2017, Pull Request 174) |
09/01/2017 | 9b2558d | Feature | devtools R Installation support (Pull Request 177) |
09/01/2017 | 6219df7 | Feature | L1 Loss Objective support (Pull Request 175) |
08/01/2017 | 551d59c | Release | R support (Pull Request 168) |
05/01/2017 | 96d08f4 | Feature | PMML support (Pull Request 153) |
01/01/2017 | a034cee | Feature | Pickle support for Python-package (Pull Request 151) |
26/12/2016 | 96cba41 | Parameter | DART xgboost support (Pull Request 139) |
19/12/2016 | 99b483d | Parameter | Learning Rate in DART support (Pull Request 133) |
01/12/2016 | 16d1853 | Release | Python support (Pull Request 94) |
11/11/2016 | 98be7e3 | Feature | DART booster support (Pull Request 67) |
08/11/2016 | 785398a | Parameter | L1 Regularization, L2 Regularization, Minimum Gain to Split support (Pull Request 69) |
05/11/2016 | 1466f90 | Release | Categorical Feature support (Pull Request 108) |
01/11/2016 | aa796a8 | Feature | Multiclass classification support (Pull Request 53) |
28/10/2016 | c45d1d9 | Feature | Feature Importance support (Pull Request 42) |
25/10/2016 | a6a75fe | Parameter | Maximum Depth support (Pull Request 35) |
24/10/2016 | 9fe0dea | Parameter | Leaf Index Prediction support (Pull Request 30) |
21/10/2016 | 7aaba32 | Parameter | Early Stopping support (Pull Request 27) With original (7d4b6d4 on 20/10/2017, Pull Request 21) |
17/10/2016 | 65ddd85 | Release | LightGBM compilable (Commit) |
- 02/09/2017 Microsoft/LightGBM@574d780: Docs: Readme Badges (Pull Request 878)
- 14/08/2017 Microsoft/LightGBM@1b8910b: Feature: SHAP Feature Importance (Pull Request 825)
- 02/08/2017 Microsoft/LightGBM@f2bec2b: Feature: Improved categorical feature support (Pull Request 762)
- 30/07/2017 Microsoft/LightGBM@00cb04a: Feature: Better missing value handle (Pull Request 747)
- 13/07/2017 Microsoft/LightGBM@3421bc6: Feature: Automatic Compiler for R-package compilation (Pull Request 664)
- 10/07/2017 Microsoft/LightGBM@ce999b7: Feature: Random Forest mode (Pull Request 678)
- 22/06/2017 Microsoft/LightGBM@d862b3e: CIntegration: Travis OSX Support (Pull Request 642)
- 20/06/2017 Microsoft/LightGBM@80c641c: Release: Python pip package (Pull Request 635)
- 18/06/2017 Microsoft/LightGBM@4d2aa84: CIntegration: AppVeyor Support (Pull Request 634)
- 06/06/2017 Microsoft/LightGBM@2c9ce59: Release: R-package version 0.2 (Pull Request 592)
- 05/06/2017 Microsoft/LightGBM@f98d75f: Feature: Use custom compiler for R-package (Pull Request 584)
- 29/05/2017 Microsoft/LightGBM@993bbd5: Parameter: Early Stopping for predictions (Pull Request 559)
- 26/05/2017 Microsoft/LightGBM@3abff37: Feature: Parameter to disable missing values (Commit)
- 21/05/2017 Microsoft/LightGBM@4cf9376: Feature: Limitation of threads for dataset construction (Commit)
- 15/05/2017 Microsoft/LightGBM@e984b0d: Feature: Support for missing values (Pull Request 516)
- 14/05/2017 Microsoft/LightGBM@358553d: Docs: Interactive External Website (Pull Request 511)
- 04/05/2017 Microsoft/LightGBM@ca30b8c: Docs: Read The Docs (Pull Request 489)
- 28/04/2017 Microsoft/LightGBM@8a19834: Feature: If-Then-Else C++ Trees Generation (Pull Request 469)
- 18/04/2017 (Microsoft/LightGBM@7339ed6): Feature: Whitespaces Removed from Features support (Pull Request 426)
- 14/04/2017 (Microsoft/LightGBM@9224a9d): Release: GPU support (Pull Request 415) with original (Microsoft/LightGBM@0bb4a82 on 09/04/2017, Pull Request 368)
- 13/04/2017 (Microsoft/LightGBM@ab55910): Feature: Speed Improvements for Prediction (Pull Request 404)
- 06/04/2017 (Microsoft/LightGBM@bfb0217): Feature: Objective Transformations to the Objective (Pull Request 383)
- 05/04/2017 (Microsoft/LightGBM@d4c4d9a): Feature: Regression Speed Improvements (Pull Request 381)
- 03/04/2017 (Microsoft/LightGBM@b6c973a): Feature: Unloading Memory Fix support for R-package (Pull Request 378)
- 17/03/2017 (Microsoft/LightGBM@06a915a): Feature: RDS support for R pacakge (Pull Request 347)
- 10/03/2017 (Microsoft/LightGBM@b7e5f07): Feature: Support Self-Contained R-package (Pull Request 340)
- 02/03/2017 (Microsoft/LightGBM@4d6ff28): Feature: Feature Contribution Plot for R-package (Pull Request 330)
- 01/03/2017 (Microsoft/LightGBM@166421e): Feature: Feature Importance Plot for R-package (Pull Request 328)
- 27/02/2017 (Microsoft/LightGBM@fddb52f): Feature: Feature Contribution for R-package (Pull Request 323)
- 20/02/2017 (Microsoft/LightGBM@10212b5): Release: v2 (Pull Request 300)
- 12/02/2017 (Microsoft/LightGBM@ea6bc0a): Release: v1 (Pull Request 290)
- 02/02/2017 (Microsoft/LightGBM@8c8ed6c): Feature: Docker support (Pull Request 275)
- 30/01/2017 (Microsoft/LightGBM@4f3e9d8): Feature: Poisson Objective support (Pull Request 270)
- 28/01/2017 (Microsoft/LightGBM@5856554): Feature: Plot Metric support for Python-package (Pull Request 266)
- 25/01/2017 (Microsoft/LightGBM@8980fc7): Feature: Plot Tree support for Python-package (Pull Request 262) with original (Microsoft/LightGBM@fafbcb3 on 25/01/2017, Pull Request 258)
- 20/01/2017 (Microsoft/LightGBM@abaefb5): Feature: Feature Importance Plot for Python-package (Pull Request 237)
- 16/01/2017 (Microsoft/LightGBM@a2ae838): Feature: Categorical Feature support for R-package (Pull Request 229)
- 16/01/2017 (Microsoft/LightGBM@57d5527): Feature: Pandas Categorical support for Python-package (Pull Request 193) with original (Microsoft/LightGBM@a2ae838 on 12/01/2017, Pull Request 193)
- 10/01/2017 (Microsoft/LightGBM@fb732c3): Feature: Fair Loss Objective support (Pull Request 180)
- 09/01/2017 (Microsoft/LightGBM@27d3eb3): Feature: Huber Loss Objective support (Pull Request 178) with original (Microsoft/LightGBM@a87af87 on 09/01/2017, Pull Request 174)
- 09/01/2017 (Microsoft/LightGBM@9b2558d): Feature: devtools R Installation support (Pull Request 177)
- 09/01/2017 (Microsoft/LightGBM@6219df7): Feature: L1 Loss Objective support (Pull Request 175)
- 08/01/2017 (Microsoft/LightGBM@551d59c): Release: R support (Pull Request 168)
- 05/01/2017 (Microsoft/LightGBM@96d08f4): Feature: PMML support (Pull Request 153)
- 01/01/2017 (Microsoft/LightGBM@a034cee): Feature: Pickle support for Python-package (Pull Request 151)
- 26/12/2016 (Microsoft/LightGBM@96cba41): Parameter: DART xgboost support (Pull Request 139)
- 19/12/2016 (Microsoft/LightGBM@99b483d): Parameter: Learning Rate in DART support (Pull Request 133)
- 01/12/2016 (Microsoft/LightGBM@16d1853): Release: Python support (Pull Request 94)
- 11/11/2016 (Microsoft/LightGBM@98be7e3): Feature: DART booster support (Pull Request 67)
- 08/11/2016 (Microsoft/LightGBM@785398a): Parameter: L1 Regularization, L2 Regularization, Minimum Gain to Split support (Pull Request 69)
- 05/11/2016 (Microsoft/LightGBM@1466f90): Release: Categorical Feature support (Pull Request 108)
- 01/11/2016 (Microsoft/LightGBM@aa796a8): Feature: Multiclass classification support (Pull Request 53)
- 28/10/2016 (Microsoft/LightGBM@c45d1d9): Feature: Feature Importance support (Pull Request 42)
- 25/10/2016 (Microsoft/LightGBM@a6a75fe): Parameter: Maximum Depth support (Pull Request 35)
- 24/10/2016 (Microsoft/LightGBM@9fe0dea): Parameter: Leaf Index Prediction support (Pull Request 30)
- 21/10/2016 (Microsoft/LightGBM@7aaba32): Parameter: Early Stopping support (Pull Request 27) with original (Microsoft/LightGBM@7d4b6d4 on 20/10/2017, Pull Request 21)
- 17/10/2016 (Microsoft/LightGBM@65ddd85): Release: LightGBM compilable (Commit)