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# LightGBM [LightGBM](https://github.com/microsoft/LightGBM) for Ruby :fire: Uses the C API for blazing performance [![Build Status](https://travis-ci.org/ankane/lightgbm.svg?branch=master)](https://travis-ci.org/ankane/lightgbm) ## Installation First, [install LightGBM](https://lightgbm.readthedocs.io/en/latest/Installation-Guide.html). On Mac, copy `lib_lightgbm.so` to `/usr/local/lib`. Add this line to your application’s Gemfile: ```ruby gem 'lightgbm' ``` Train a model ```ruby params = {objective: "regression"} train_set = LightGBM::Dataset.new(x_train, label: y_train) booster = LightGBM.train(params, train_set) ``` Predict ```ruby booster.predict(x_test) ``` Save the model ```ruby booster.save_model("model.txt") ``` Load a model from a file ```ruby booster = LightGBM::Booster.new(model_file: "model.txt") ``` Get feature importance ```ruby booster.feature_importance ``` ## Reference ### Booster ```ruby booster = LightGBM::Booster.new(model_str: "tree...") booster.to_json booster.model_to_string booster.current_iteration ``` ### Dataset ```ruby dataset = LightGBM::Dataset.new(data, label: label, weight: weight, params: params) dataset.num_data dataset.num_feature # note: only works with unquoted CSVs dataset = LightGBM::Dataset.new("data.csv", params: {headers: true, label: "name:label"}) dataset.save_binary("train.bin") dataset.dump_text("train.txt") ``` ## Credits Thanks to the [xgboost](https://github.com/PairOnAir/xgboost-ruby) gem for serving as an initial reference, and Selva Prabhakaran for the [test datasets](https://github.com/selva86/datasets). ## History View the [changelog](https://github.com/ankane/lightgbm/blob/master/CHANGELOG.md) ## Contributing Everyone is encouraged to help improve this project. Here are a few ways you can help: - [Report bugs](https://github.com/ankane/lightgbm/issues) - Fix bugs and [submit pull requests](https://github.com/ankane/lightgbm/pulls) - Write, clarify, or fix documentation - Suggest or add new features
Version data entries
1 entries across 1 versions & 1 rubygems
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lightgbm-0.1.1 | README.md |