如何通過 Jupyter Kernel Gateway 將基於 R 語言的 Jupyter 單元公開為 REST API？

Question

在 Jupyter notebook 中，我創建了一個 R 單元，其中包含以下 R 代碼：

#GET /r/test

data <- read.csv("/home/jovyan/work/data/heart-failure.csv")

# Split the data into training and test sets. (0.75, 0.25) split.
sampled <- sample(1:nrow(data), 0.75 * nrow(data))
train <- data[sampled, ]
test <- data[-sampled, ]
print(train,quote = TRUE, row.names = FALSE)

為了將單元格公開為 REST API，我使用 Jupyter Kernel Gateway 注釋對單元格進行了注釋

#GET /r/test

當我啟動一個啟用 Jupyter 內核網關的 docker 容器時，我收到了錯誤

RuntimeError: No endpoints were discovered. Check your notebook to make sure your cells are annotated correctly.

Jupyter 內核網關是否支持將基於 R 語言的單元公開為 REST API？ 如果是，我該如何實現這個功能？

Answer 1

根據文檔， #和GET之間總是有一個空格，所以你需要寫# GET /r/test代替：

# GET /r/test

data <- read.csv("/home/jovyan/work/data/heart-failure.csv")

# Split the data into training and test sets. (0.75, 0.25) split.
sampled <- sample(1:nrow(data), 0.75 * nrow(data))
train <- data[sampled, ]
test <- data[-sampled, ]
print(train,quote = TRUE, row.names = FALSE)