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A lot of the data inputs you have in the boot_algo3 function in R assumes a dataframe. Should we just do the same and assume pandas dataframes in the python version? We can then turn them into numpy arrays in the function for performance.
The text was updated successfully, but these errors were encountered:
Yes, this sounds like a good idea to me =) Though I do think that in most cases, there is no good reason in my code to assume a DataFrame (or only very R-centric reasons), so we could also be lenient and accept both.
A lot of the data inputs you have in the
boot_algo3
function in R assumes a dataframe. Should we just do the same and assume pandas dataframes in the python version? We can then turn them into numpy arrays in the function for performance.The text was updated successfully, but these errors were encountered: