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Large memory footprint of Cox-PH model #37
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The structures that keep track of the various parts of the model fitting process, including the model object that's returned, keep some potentially very large arrays in memory. I'd be curious to know whether Julia will free memory appropriately with your |
Hey fellas, thanks a lot for this package. I've been using it recently, and I noticed that, for some reason, it's taking a huge toll in my memory. I have a dataframe with 20k rows. Once I load the dataframe, I have a 4gb of memory in use. After running the Cox-PH model, it grows to 11gb, and stays that way, even if I place the whole thing inside a function.
What is going on here?
BTW, I'm in Julia 1.7.2. Using:
DataFrames v1.3.2
Survival v0.2.2
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