结构主题模型 (STM) 错误：不可靠的值：Future (‘<none>’) 意外生成随机数，而未指定参数“seed”

如何解决结构主题模型 (STM) 错误：不可靠的值：Future (‘<none>’) 意外生成随机数，而未指定参数“seed”

在成功运行我的 stm 几次后，我现在每次尝试运行它时都会收到此错误消息：

UNRELIABLE VALUE: Future (‘<none>’) unexpectedly generated random numbers without specifying argument 'seed'. There is a risk that those random numbers are not statistically sound and the overall results might be invalid. To fix this,specify 'seed=TRUE'. This ensures that proper,parallel-safe random numbers are produced via the L'Ecuyer-CMRG method. To disable this check,use 'seed=NULL',or set option 'future.rng.onMisuse' to "ignore".

这是我运行的代码：

many_models <- data_frame(K = c(10,20,30,40,50,60)) %>%
mutate(topic_model = future_map_dbl(K,~stm(tweet_df_sparse,K = .,verbose = FALSE)))

知道如何快速修复它吗？

解决方法

需要将 seed = TRUE 添加到 future_map_dbl()

many_models <- data_frame(K = c(10,20,30,40,50,60)) %>%
mutate(topic_model = future_map(future_map_dbl(K,~stm(tweet_df_sparse,K = .,verbose = FALSE,.options = furrr_options(seed = T)))