ytk-learn

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Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

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최종 버전 다운로드 (.zip)

- cluster_optimizer.sh
- cygwin_local_optimizer.sh
- hadoop_optimizer.sh
- libsvm_convert_2_ytklearn.sh
- local_optimizer.sh
- predict.sh
- spark_optimizer.sh
- transform.py
- win_libsvm_convert_2_ytklearn.bat
- win_local_optimizer.bat
- win_predict.bat
- yarn_job_kill.py
- - ffm.conf
  - fm.conf
  - gbdt.conf
  - gbhmlr.conf
  - gbhsdt.conf
  - gbmlr.conf
  - gbsdt.conf
  - linear.conf
  - multiclass_linear.conf
- log4j.properties
- log4j_master.properties
- log4j_master_win.properties
- log4j_slave.properties
- log4j_slave_win.properties
- log4j_win.properties
- - local_optimizer.sh
  - multiclass_linear.conf
  - run.sh
- - hsoftmax_gating.png
  - softmax_gating.png
- data_format.md
- evaluation_metrics.md
- features.md
- ffm.config.md
- fm.config.md
- gbdt.config.md
- gbdt_experiments.md
- gbdt_features.md
- gbmlr.config.md
- gbsdt.config.md
- linear.config.md
- models.md
- multiclass_linear.config.md
- online.md
- performance_guide.md
- running_guide.md
- - feat_dict
  - get_data.sh
  - higgs2libsvm.py
  - higgs2ytklearn.py
  - libsvm2ytklearn.py
  - local_gbdt.conf
  - local_optimizer.sh
  - predict.sh
  - README.md
- package.sh
- test.sh
.gitignore
LICENSE
pom.xml
pom.xml.shade
README.md

// repository documentation

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ytk-learn

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