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I'm running my usual gap filling code on a dataset that is increasing in size every year and this time I'm currently experiencing a new error:
dataset 1
iteration 1 | ConduScmError in miceRanger(metalp_ds, m = 1, maxiter = 10, parallel = FALSE, :
Evaluation failed with error <Error in get.knnx(data, query, k, algorithm): long vectors (argument 7) are not supported in .C
. This is probably our fault - please open an issue at https://github.com/FarrellDay/miceRanger/issues with a reproduceable example.
The dataset has 1'176'481 observations and 13 variables. All variables are numeric and I tried with both NaN and NA for missing values. The error shows up when the second variables starts to be imputed. My computer and 56 cores and 256GB RAM
I did some tests and it seems it's a matter of size. I'm able to impute up to approx 800'000 observations, but with my full dataset that error shows up. I could subsample it to generate a model and apply that same model to the rest of the observations, but I would like to exploit the full information of the DS to generate the model.
Any idea how to fix it? Many thanks
The text was updated successfully, but these errors were encountered:
Dear @samFarrellDay,
I'm running my usual gap filling code on a dataset that is increasing in size every year and this time I'm currently experiencing a new error:
The dataset has 1'176'481 observations and 13 variables. All variables are numeric and I tried with both NaN and NA for missing values. The error shows up when the second variables starts to be imputed. My computer and 56 cores and 256GB RAM
I did some tests and it seems it's a matter of size. I'm able to impute up to approx 800'000 observations, but with my full dataset that error shows up. I could subsample it to generate a model and apply that same model to the rest of the observations, but I would like to exploit the full information of the DS to generate the model.
Any idea how to fix it? Many thanks
The text was updated successfully, but these errors were encountered: