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OutputModels <- robyn_run(
InputCollect = InputCollect, # feed in all model specification
cores = 11, # NULL defaults to (max available - 1)
iterations = 2000, # 2000 recommended for the dummy dataset with no calibration
trials = 5, # 5 recommended for the dummy dataset
ts_validation = TRUE, # 3-way-split time series for NRMSE validation.
add_penalty_factor = FALSE # Experimental feature. Use with caution.
)
Environment & Robyn version
Make sure you're using the latest Robyn version before you post an issue.
Check and share Robyn version: packageVersion("Robyn") ? 3.10.3
R version (Please, check and share: sessionInfo() or R.version$version.string)
R version 4.3.1 (2023-06-16 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)
Project Robyn
Demo.R
Describe issue
Error in signif(nevergrad_hp_val[[co]][index], 6) :
non-numeric argument to mathematical function
Provide reproducible example
Libraries
library(tidyverse)
library(Robyn)
library(reticulate)
set.seed(123)
Force multi-core use when running RStudio
Sys.setenv(R_FUTURE_FORK_ENABLE = "true")
options(future.fork.enable = TRUE)
Create virtual environment
conda_create("r-reticulate")
Use the environment created
use_condaenv("r-reticulate", required = T)
Check simulated dataset or load your own dataset
data("dt_simulated_weekly")
head(dt_simulated_weekly)
Check holidays from Prophet
data("dt_prophet_holidays")
head(dt_prophet_holidays)
Directory where you want to export results to (will create new folders)
robyn_directory <- "MyDemo.RDS"
All sign control are now automatically provided: "positive" for media & organic
InputCollect <- robyn_inputs(
dt_input = dt_simulated_weekly,
dt_holidays = dt_prophet_holidays,
date_var = "DATE", # date format must be "2020-01-01"
dep_var = "revenue", # there should be only one dependent variable
dep_var_type = "revenue", # "revenue" (ROI) or "conversion" (CPA)
prophet_vars = c("trend", "season", "holiday"), # "trend","season", "weekday" & "holiday"
prophet_country = "IT", # input country code. Check: dt_prophet_holidays
context_vars = c("competitor_sales_B", "events"), # e.g. competitors, discount, unemployment etc
paid_media_spends = c("tv_S", "ooh_S", "print_S", "facebook_S", "search_S"), # mandatory input
paid_media_vars = c("tv_S", "ooh_S", "print_S", "facebook_I", "search_clicks_P"), # mandatory.
organic_vars = "newsletter", # marketing activity without media spend
factor_vars = c("events"), # force variables in context_vars or organic_vars to be categorical
window_start = "2016-11-23",
window_end = "2018-08-22",
adstock = "geometric" # geometric, weibull_cdf or weibull_pdf.
)
print(InputCollect)
hyperparameter names are based on paid_media_spends names too. See right hyperparameter names:
hyper_names(adstock = InputCollect$adstock, all_media = InputCollect$all_media)
Guide to setup & understand hyperparameters
Example hyperparameters ranges for Geometric adstock
hyperparameters <- list(
facebook_S_alphas = c(0.5, 3),
facebook_S_gammas = c(0.3, 1),
facebook_S_thetas = c(0, 0.3),
print_S_alphas = c(0.5, 3),
print_S_gammas = c(0.3, 1),
print_S_thetas = c(0.1, 0.4),
tv_S_alphas = c(0.5, 3),
tv_S_gammas = c(0.3, 1),
tv_S_thetas = c(0.3, 0.8),
search_S_alphas = c(0.5, 3),
search_S_gammas = c(0.3, 1),
search_S_thetas = c(0, 0.3),
ooh_S_alphas = c(0.5, 3),
ooh_S_gammas = c(0.3, 1),
ooh_S_thetas = c(0.1, 0.4),
newsletter_alphas = c(0.5, 3),
newsletter_gammas = c(0.3, 1),
newsletter_thetas = c(0.1, 0.4),
train_size = c(0.5, 0.8)
)
InputCollect <- robyn_inputs(InputCollect = InputCollect, hyperparameters = hyperparameters)
OutputModels <- robyn_run(
InputCollect = InputCollect, # feed in all model specification
cores = 11, # NULL defaults to (max available - 1)
iterations = 2000, # 2000 recommended for the dummy dataset with no calibration
trials = 5, # 5 recommended for the dummy dataset
ts_validation = TRUE, # 3-way-split time series for NRMSE validation.
add_penalty_factor = FALSE # Experimental feature. Use with caution.
)
Environment & Robyn version
Make sure you're using the latest Robyn version before you post an issue.
packageVersion("Robyn")
? 3.10.3sessionInfo()
orR.version$version.string
)R version 4.3.1 (2023-06-16 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)
Matrix products: default
locale:
[1] LC_COLLATE=Spanish_Bolivia.utf8 LC_CTYPE=Spanish_Bolivia.utf8 LC_MONETARY=Spanish_Bolivia.utf8
[4] LC_NUMERIC=C LC_TIME=Spanish_Bolivia.utf8
time zone: America/La_Paz
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] reticulate_1.31 Robyn_3.10.3 lubridate_1.9.2 forcats_1.0.0 stringr_1.5.0 dplyr_1.1.3
[7] purrr_1.0.2 readr_2.1.4 tidyr_1.3.0 tibble_3.2.1 ggplot2_3.4.3 tidyverse_2.0.0
loaded via a namespace (and not attached):
[1] gtable_0.3.4 shape_1.4.6 QuickJSR_1.0.5 processx_3.8.2 inline_0.3.19
[6] lattice_0.21-8 callr_3.7.3 tzdb_0.4.0 ps_1.7.5 vctrs_0.6.3
[11] tools_4.3.1 bitops_1.0-7 generics_0.1.3 stats4_4.3.1 parallel_4.3.1
[16] fansi_1.0.4 pkgconfig_2.0.3 prophet_1.0 Matrix_1.6-1 ggridges_0.5.4
[21] rngtools_1.5.2 RcppParallel_5.1.7 lifecycle_1.0.3 compiler_4.3.1 munsell_0.5.0
[26] minpack.lm_1.2-3 codetools_0.2-19 h2o_3.42.0.2 RCurl_1.98-1.12 yaml_2.3.7
[31] glmnet_4.1-8 crayon_1.5.2 pillar_1.9.0 nloptr_2.0.3 StanHeaders_2.26.28
[36] doRNG_1.8.6 iterators_1.0.14 rpart_4.1.19 foreach_1.5.2 rstan_2.26.23
[41] tidyselect_1.2.0 rvest_1.0.3 zip_2.3.0 digest_0.6.33 stringi_1.7.12
[46] splines_4.3.1 grid_4.3.1 colorspace_2.1-0 cli_3.6.1 magrittr_2.0.3
[51] loo_2.6.0 patchwork_1.1.3 pkgbuild_1.4.2 survival_3.5-5 utf8_1.2.3
[56] withr_2.5.0 prettyunits_1.1.1 rappdirs_0.3.3 lares_5.2.2 scales_1.2.1
[61] timechange_0.2.0 extraDistr_1.9.1 httr_1.4.7 matrixStats_1.0.0 rpart.plot_3.1.1
[66] gridExtra_2.3 png_0.1-8 hms_1.1.3 openxlsx_4.2.5.2 doParallel_1.0.17
[71] rlang_1.1.1 Rcpp_1.0.11 glue_1.6.2 xml2_1.3.5 pROC_1.18.4
[76] rstudioapi_0.15.0 jsonlite_1.8.7 R6_2.5.1 plyr_1.8.8
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