Comments (3)
johannesostner
commented on June 12, 2024
Thats a very good point, saving results objects directly was not possible yet. I just added a save function to the results class that saves results via pickle: sim_results.save("path_to_file"). Instructions on how to use it are also added in the tutorial.
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mbuttner
commented on June 12, 2024
Hi,
thank you again for the save utils. I have encountered a problem with saving large objects (i.e. with chain length 400.000):
OverflowError: cannot serialize a bytes object larger than 4 GiB
I would be grateful for a suggestion how to handle this error.
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johannesostner
commented on June 12, 2024
Per default, pickle can only save files up to 4 GB. However, one can switch the protocol version enable saving of larger files. I just changed this in the latest commit on the dev branch.
Unfortunately, I cannot test this rn (only have 4 GB of RAM available), but if you want, you can try it out.
If you do, please let me know if it worked!
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Related Issues (20)
- loading data with dat.from_scanpy HOT 2
- Zero log2-fold change but credible change being identified? HOT 3
- Understanding inclusion probability HOT 4
- All cell types as reference loop error HOT 17
- Feature Request: log10 scaling for Boxplots HOT 1
- Feature Request: Automatically print significance indicator in boxplots HOT 1
- access sim_results.summary() for further analysis in R HOT 2
- scCODA p-values? HOT 1
- Replace sklearn dependency with scikit-learn HOT 1
- Bootstrap or splitting my samples HOT 2
- conda compatibility HOT 4
- TypeError: '<' not supported between instances of 'str' and 'int' on toy dataset HOT 1
- Questions about generalizability to other NGS datasets HOT 1
- AttributeError: module 'arviz' has no attribute 'data' HOT 2
- Error when num_burnins > num_results HOT 4
- Exporting Summary Results HOT 1
- additive effects and interaction terms HOT 3
- model comparison using LOO/WAIC HOT 2
- Tutorial for R/reticulate HOT 3
- Final Parameter and log2-fold change have different signs HOT 6
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