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Hey @alexisfacques , thanks a lot for such a nice library!
In my experiments, I have around 50-60k transactions and the algorithm stops working after some time, the process crashes with an OOM error. I have 16GB of RAM and it is all getting utilized by the library.
I understand that it's the nature of this algorithm to be inefficient in memory, but do you see any chances to make it work on a regular laptop? Some kinds of tweaks or optimizations maybe. Or use some external tools (such as databases, and file systems) for storing temporary results after each step.
The text was updated successfully, but these errors were encountered:
Hey @alexisfacques , thanks a lot for such a nice library!
In my experiments, I have around 50-60k transactions and the algorithm stops working after some time, the process crashes with an OOM error. I have 16GB of RAM and it is all getting utilized by the library.
I understand that it's the nature of this algorithm to be inefficient in memory, but do you see any chances to make it work on a regular laptop? Some kinds of tweaks or optimizations maybe. Or use some external tools (such as databases, and file systems) for storing temporary results after each step.
The text was updated successfully, but these errors were encountered: