如何解决在先知中使用组和回归进行预测
我正在尝试使用先知库通过Group and Regressors来预测y。我的代码和收到的错误如下。
- 在Model1中：
我收到此错误：setup_dataframe（object，df）中的错误：
数据框缺少回归指标“ x1”
- 在Model2中：
Model2运行。但我无法弄清楚如何添加回归变量x1 和x2。
图书馆（先知） 库（dplyr）
df <- data.frame(ds = rep(c("2020-01-01","2020-01-02","2020-01-03","2020-01-04","2020-01-05","2020-01-06","2020-01-07","2020-01-08","2020-01-09","2020-01-10","2020-01-11","2020-01-12","2020-01-13","2020-01-14","2020-01-15"),2),group = rep(c("A","B"),each = 15),y = c(8.15,1.74,2.97,2.36,0.94,1.84,3.17,12.51,0.63,6.92,5.51,7.50,-2.47,4.38,6.28,7.69,2.89,3.77,7.27,-1.19,4.64,9.49,5.43,0.36,14.12,8.77,-3.05,-0.72,10.99,10.33),x1 = c(3.11,2.16,0.91,2.78,0.06,1.12,1.73,3.95,1.43,3.40,2.37,1.80,0.95,1.66,3.06,-0.23,3.11,3.07,-0.39,0.13,2.15,1.61,1.54,5.50,2.21,0.89,3.24,4.27,2.55),x2 = c(2.52,-0.21,1.03,0.44,0.72,4.28,-0.40,1.76,1.57,2.85,-1.71,1.36,3.96,-0.11,0.35,3.83,-0.66,3.67,1.91,-0.59,4.31,3.28,-1.97,-1.98,3.36,3.89))
df$ds <- as.Date(df$ds)
# Model 1
Model1 <- function(df) {
m <- prophet(seasonality.mode = 'multiplicative')
m <- add_regressor(m,'x1')
m <- add_regressor(m,'x2')
m <- fit.prophet(m,df)
future <- make_future_dataframe(m,periods = 5,freq = 'day')
mod1 <- predict(m,future)
return(mod1)
}
mod1 <-df %>%
group_by(group) %>%
do(Model1(.)) %>%
dplyr::select(ds,group,yhat)
# Model 2
library(prophet)
library(dplyr)
library(purrr)
library(tidyr)
Model2 <- df %>%
nest(-group) %>%
mutate(m = map(data,prophet)) %>%
mutate(future = map(m,make_future_dataframe,period = 5)) %>%
mutate(forecast = map2(m,future,predict))
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