在R环境中部署Amazon sagemaker生成的XGBoost模型

install.packages("xgboost")
install.packages("aws.s3")

library(aws.s3)

# 设置AWS访问密钥
Sys.setenv("AWS_ACCESS_KEY_ID" = "your_access_key",
           "AWS_SECRET_ACCESS_KEY" = "your_secret_key",
           "AWS_DEFAULT_REGION" = "your_region")

# 上传模型文件到S3
put_object(file = "path_to_model_file",
           bucket = "your_bucket_name",
           object = "model/model.xgb")

library(xgboost)
library(aws.s3)

# 设置AWS访问密钥
Sys.setenv("AWS_ACCESS_KEY_ID" = "your_access_key",
           "AWS_SECRET_ACCESS_KEY" = "your_secret_key",
           "AWS_DEFAULT_REGION" = "your_region")

# 从S3下载模型文件
get_object(bucket = "your_bucket_name",
           object = "model/model.xgb",
           file = "path_to_save_model_file")

# 加载模型
model <- xgboost::xgb.load("path_to_save_model_file")

# 准备输入数据
data <- data.frame(...)

# 进行预测
predictions <- predict(model, data)

# 打印预测结果
print(predictions)