文件名称:
R语言lightGBM包Win10下编译可用
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文件大小: 1mb
下载次数: 0
上传时间: 2018-03-17
详细说明： R语言在win10下编译的lightGBM扩展包。 > sessionInfo() R version 3.4.3 (2017-11-30) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows >= 8 x64 (build 9200) Matrix products: default locale: [1] LC_COLLATE=Chinese (Simplified)_China.936 [2] LC_CTYPE=Chinese (Simplified)_China.936 [3] LC_MONETARY=Chinese (Simplified)_China.936 [4] LC_NUMERIC=C [5] LC_TIME=Chinese (Simplified)_China.936 attached base packages: [1] stats graphics grDevices utils datasets methods [7] base other attached packages: [1] lightgbm_2.1.0 R6_2.2.2 loaded via a namespace (and not attached): [1] compiler_3.4.3 magrittr_1.5 tools_3.4.3 [4] yaml_2.1.18 data.table_1.10.4-3 > require(lightgbm) Loading required package: lightgbm Loading required package: R6 > data(iris) > iris$Species <- as.numeric(as.factor(iris$Species)) - 1 > train <- as.matrix(iris[c(1:40, 51:90, 101:140), ]) > test <- as.matrix(iris[c(41:50, 91:100, 141:150), ]) > dtrain <- lgb.Dataset(data = train[, 1:4], label = train[, 5]) > dtest <- lgb.Dataset.create.valid(dtrain, data = test[, 1:4], label = test[, 5]) > valids <- list(test = dtest) > params <- list(objective = "multiclass", metric = "multi_error", num_class = 3) > model <- lgb.train(params, + dtrain, + 100, + valids, + min_data = 1, + learning_rate = 1, + early_stopping_rounds = 10) [LightGBM] [Info] Total Bins 87 [LightGBM] [Info] Number of data: 120, number of used features: 4 [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [1]: test's multi_error:0.0333333 > my_preds <- predict(model, test[, 1:4]) > > head(my_preds) [1] 0.82590130 0.08704935 0.08704935 0.82590130 0.08704935 0.08704935 > ...展开收缩
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