[Broken] Release 1.0.13

Warning: Do not use this version as it failed to include com.feedzai.openml.lightgbm.lightgbmlib:lightgbmlib:jar:2.3.190. Use instead 1.0.15 or any other version above.
Include lightgbmlib:2.3.190 into openml-lightgbm as uber jar

LightGBM

• Add support for train with large datasets.
  Before this patch the train dataset matrix couldn't have more than 2,147,483,646 values (#rows * (#features + label)).
• Add multi-threaded training support.

[Broken] Release 1.0.12

Warning: Do not use this version as it failed to deploy com.feedzai.openml.lightgbm.lightgbmlib:lightgbmlib:jar:2.3.190. Use instead 1.0.15 or any other version above.
Add maven-deploy-plugin to upload lightgbmlib:2.3.190 to the maven repository

LightGBM

• Add support for train with large datasets.
  Before this patch the train dataset matrix couldn't have more than 2,147,483,646 values (#rows * (#features + label)).
• Add multi-threaded training support.

[Broken] Release 1.0.11

Warning: Do not use this version as it is missing com.feedzai.openml.lightgbm.lightgbmlib:lightgbmlib:jar:2.3.190. Use instead 1.0.15 or any other version above.
Bump H2O version

LightGBM

• Add support for train with large datasets.
  Before this patch the train dataset matrix couldn't have more than 2,147,483,646 values (#rows * (#features + label)).
• Add multi-threaded training support.

Release 1.0.10

Port LightGBM provider.

Release 1.0.9

Improve Deep Learning HIDDEN parameter parsing.

Release 0.5.14

Improve Deep Learning HIDDEN parameter parsing.

Release 1.0.8

XGBoost performance increased by removing inefficient GPU libraries.

Release 0.5.13

XGBoost performance increased by removing inefficient GPU libraries.

Release 1.0.7

H2O parameters are now filtered by the its presence in the fields field in the parameter spec class.

Release 0.5.12

H2O parameters are now filtered by the its presence in the fields field in the parameter spec class.