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library(mlflow)
# read parameters
column <- mlflow_log_param("column", 1)
# log total rows
mlflow_log_metric("rows", nrow(iris))
# train model
model <- lm(Sepal.Width ~ iris[[column]], iris)
# log models intercept
mlflow_log_metric("intercept", model$coefficients[["(Intercept)"]])
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