ray, Dask) (thanks @Yard1!) R package: efficient support for more data types in prediction, like dgCMatrix and dsparseMatrix (thanks @david-cortes!) much more idomatic interface... e.g. support for saveRDS() and readRDS() for Booster, print() and summary() methods for Dataset (...
lightgbm_ray (LightGBM on Ray):https://github.com/ray-project/lightgbm_ray Mars (LightGBM on Mars):https://github.com/mars-project/mars ML.NET (.NET/C#-package):https://github.com/dotnet/machinelearning LightGBM.NET (.NET/C#-package):https://github.com/rca22/LightGBM.Net ...
克隆/下载 git config --global user.name userName git config --global user.email userEmail 分支26 标签40 James Lamb[docs] add a note about DART in early_stop...643764523天前 3650 次提交 提交 .ci [ci] consolidate R package installs into a CI script (#6808) ...
1.一个简单的方法是设置is_unbalance参数为True或者设置scale_pos_weight,二者只能选一个。 设置is_unbalance参数为True时会把负样本的权重设为:正样本数/负样本数。这个参数只能用于二分类。 2.自定义评价函数: https://cloud.tencent.com/developer/article/1357671 lightGBM的原理总结: http://www.cnblogs.com/...
按照我的设想,我应该可以使用ray从磁盘(多个.pq文件)加载大数据集的批量随机样本,并将它们提供给<e 浏览9提问于2022-11-15得票数 0 4回答 LightGBM根据列的顺序给出不同的结果(度量) 、、 我有两个几乎相同的数据集A和B,它们只是在列排序方面有所不同。然后,通过以下步骤对这两个数据集中的每个数据集进...
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The data set contains 1200 pieces of X-ray camera usage information, including 955 pieces of faulty data and 245 pieces of normal data. There is more information in the design, and although there are many factors to consider [24], there are some uncontrollable and other reasons that cannot ...
Source File: lightgbm_example.py From ray with Apache License 2.0 6 votes def train_breast_cancer(config): data, target = sklearn.datasets.load_breast_cancer(return_X_y=True) train_x, test_x, train_y, test_y = train_test_split( data, target, test_size=0.25) train_set = lgb....
custom objective functions in Dask scikit-learnis no longer a required dependency all callbacks are now pickleable (for better interoperability with e.g.ray, Dask) (thanks @Yard1!) R package: efficient support for more data types in prediction, likedgCMatrixanddsparseMatrix(thanks @david-cortes...
lightgbm_ray (LightGBM on Ray): https://github.com/ray-project/lightgbm_ray Mars (LightGBM on Mars): https://github.com/mars-project/mars ML.NET (.NET/C#-package): https://github.com/dotnet/machinelearning LightGBM.NET (.NET/C#-package): https://github.com/rca22/LightGBM.Net LightGBM...