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When N=10_000, this works on my machine and gives the following result.
NOTE: that the dataframe has 100 million rows
But much above this leads to a kernel crash. In my use case I am using N=100_000.
This is related to the strategy of setting the shape of the variables to N then drawing 1 sample. For example, if we change the shape to the default 1, and instead ask for N samples, then it works fine. This does work as expected:
Expected behavior
This may well be an edge case, but the expected behaviour would be to get a dataframe with N rows, even with the original model1 strategy.
Additional context
Arviz version: 0.15.1
The text was updated successfully, but these errors were encountered:
Describe the bug
When sampling from a model, and trying to extract the samples into a dataframe, I'm finding that it will crash the kernel.
To Reproduce
When
N=10_000
, this works on my machine and gives the following result.NOTE: that the dataframe has 100 million rows
But much above this leads to a kernel crash. In my use case I am using
N=100_000
.This is related to the strategy of setting the shape of the variables to
N
then drawing 1 sample. For example, if we change the shape to the default 1, and instead ask forN
samples, then it works fine. This does work as expected:Expected behavior
This may well be an edge case, but the expected behaviour would be to get a dataframe with
N
rows, even with the originalmodel1
strategy.Additional context
Arviz version: 0.15.1
The text was updated successfully, but these errors were encountered: