我想提取,.metrics (RMSE)从滚动起源预测重采样(tibble: 52x5)由"id“列,其中包括切片。
复制代码如下所示。这是我的尝试。
metric <- resamples_fitted$.resample_results
metric

all <- metric[[1]][[".metrics"]]
res <- unlist(all)
estimate <- res[ grepl(".estimate", names(res))]我想通过数据帧中的“片”来获取".estimate“。对于每个切片,将有一个RMSE。这些是完整的代码
library(tidymodels)
library(modeltime)
library(modeltime.resample)
library(tidyverse)
library(timetk)
library(resample)
resample_spec <- rolling_origin(
data = m750,
initial = 200,
assess = 3,
cumulative = TRUE,
skip = 1,
overlap = 0 )
resamples_fitted <- m750_models %>%
modeltime_fit_resamples(
resamples = resample_spec,
control = control_resamples(verbose = FALSE)
)
resamples_fitted
metric <- resamples_fitted$.resample_results
metric
all <- metric[[1]][[".metrics"]]
res <- unlist(all)
estimate <- res[ grepl(".estimate", names(res))]发布于 2021-11-05 14:26:55
花了一段时间后,我找到了一个解决方案,虽然可能不是很优雅,但它解决了这个问题。
metric <- resamples_fitted$.resample_results
metric
all <- metric[[1]][[ ".metrics"]]
res <- unlist(all)
estimate <- res[ grepl(".estimate", names(res))]
typeof(estimate)
dat <- as.data.frame(sapply(estimate, as.numeric))
data <- dat[complete.cases(dat), ]
all_id <- data.frame(metric[[1]]$id)
al <- cbind(all_id,data)https://stackoverflow.com/questions/69849833
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