Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
Robyn one pager is not getting exported/saved tried with multiple core options. Started with default cores to Null and reduced the cores to 4,6 .
1st Error:
Auto selected k = 7 (clusters) based on minimum WSS variance of 6%
Error : One or both dimensions exceed the maximum (50000px).
Use options(ragg.max_dim = ...) to change the max
Warning: May cause the R session to crash..
2nd Error
Some times i am getting an Error in Serialization(data,node$con) : error writing to connection.
code:
OutputModels <- robyn_run(
InputCollect = InputCollect, # feed in all model specification
cores = NULL, # NULL defaults to (max available - 1)6
iterations = 4000, # 2000 recommended for the dummy dataset with no calibration 7000
trials = 5, # 5 recommended for the dummy dataset 7
ts_validation = TRUE,
seed = 123L,# 3-way-split time series for NRMSE validation.
add_penalty_factor = FALSE # Experimental feature. Use with caution.
)
print(OutputModels)
Environment & Robyn version
packageVersion("Robyn")
[1] ‘3.10.3’
"R version 4.4.0 (2024-04-24 ucrt)"
Hi, how many cores do you have? and still seeing the Serialization error when NOT using all cores? This indicates reducing cores in windows might solve the problem.
Hi,
Robyn one pager is not getting exported/saved tried with multiple core options. Started with default cores to Null and reduced the cores to 4,6 . 1st Error: Auto selected k = 7 (clusters) based on minimum WSS variance of 6% Error : One or both dimensions exceed the maximum (50000px).
options(ragg.max_dim = ...)
to change the max Warning: May cause the R session to crash.. 2nd Error Some times i am getting an Error in Serialization(data,node$con) : error writing to connection.code: OutputModels <- robyn_run( InputCollect = InputCollect, # feed in all model specification cores = NULL, # NULL defaults to (max available - 1)6 iterations = 4000, # 2000 recommended for the dummy dataset with no calibration 7000 trials = 5, # 5 recommended for the dummy dataset 7 ts_validation = TRUE, seed = 123L,# 3-way-split time series for NRMSE validation. add_penalty_factor = FALSE # Experimental feature. Use with caution. ) print(OutputModels)
Environment & Robyn version
packageVersion("Robyn") [1] ‘3.10.3’ "R version 4.4.0 (2024-04-24 ucrt)"