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%\VignetteIndexEntry{cross-validation} - %\VignetteEngine{knitr::rmarkdown} - %\VignetteEncoding{UTF-8} ---- -```{r setup, include=FALSE} -library(httptest2) -start_vignette("mocks") - -options("TIMEGPT_TOKEN"="dummy_token") -options(digits=7) - -knitr::opts_chunk$set( - collapse = TRUE, - comment = "#>", - fig.width = 12, - fig.height = 6 -) -``` - -```{r} -library(nixtlar) -``` - -## 1. Load data - -```{r} -# df <- read.table('https://raw.githubusercontent.com/Nixtla/transfer-learning-time-series/main/datasets/electricity-short.csv', sep = ",", header = TRUE) -# head(df) -``` - -## 2. Use cross validation with TimeGPT - -```{r} -# timegpt_cv_df <- timegpt_cross_validation(df, h = 8, id_col = "unique_id", n_windows = 5, step_size = 2) -# head(timegpt_cv_df) -``` - -## 3. Plot TimeGPT forecasts - -```{r} -# timegpt_plot(df, timegpt_cv_df, h=8, max_insample_length = 200) -``` - - -```{r, include=FALSE} -end_vignette() -``` diff --git a/vignettes/mocks/0/dashboard.nixtla.io/api/timegpt_multi_series_cross_validation-9d5856-POST.json b/vignettes/mocks/0/dashboard.nixtla.io/api/timegpt_multi_series_cross_validation-9d5856-POST.json deleted file mode 100644 index 0865286..0000000 --- a/vignettes/mocks/0/dashboard.nixtla.io/api/timegpt_multi_series_cross_validation-9d5856-POST.json +++ /dev/null @@ -1,1423 +0,0 @@ -{ - "data": { - "forecast": { - "columns": [ - "unique_id", - "ds", - "cutoff", - "y", - "TimeGPT" - ], - "data": [ - [ - "BE", - "2016-12-30 08:00:00", - "2016-12-30T07:00:00", - 59, - 50.504737854003906 - ], - [ - "BE", - "2016-12-30 09:00:00", - "2016-12-30T07:00:00", - 60.77, - 53.24004364013672 - ], - [ - "BE", - "2016-12-30 10:00:00", - "2016-12-30T07:00:00", - 55.67, - 54.339256286621094 - ], - [ - "BE", - "2016-12-30 11:00:00", - "2016-12-30T07:00:00", - 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