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Pandas now recommends against using DataFrame.values, as the behavior depends on the dtype of the array. This shouldn't cause a results issue in eqsormo, but could be a perf problem if every access of .values is building big arrays and doing type conversion behind the scenes. For now workaround is to just convert DataFrames to float64 before calling TraSortingModel.
The text was updated successfully, but these errors were encountered:
Pandas now recommends against using DataFrame.values, as the behavior depends on the dtype of the array. This shouldn't cause a results issue in
eqsormo
, but could be a perf problem if every access of .values is building big arrays and doing type conversion behind the scenes. For now workaround is to just convert DataFrames to float64 before calling TraSortingModel.The text was updated successfully, but these errors were encountered: