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for some reason, when the input dataset becomes too large (too many "fields" ~ about 29 or more), the predictions (at least the first iterations, havent checked if it changes eventually after N iterations) are all NaN
*edit: few samples of data, even a one row dataframe, presents the same issue, so it appears to be "fields" related
*edit2: tested, doesnt cnverge after N iterations
The text was updated successfully, but these errors were encountered:
using the python wrapper (libffm-python)
for some reason, when the input dataset becomes too large (too many "fields" ~ about 29 or more), the predictions (at least the first iterations, havent checked if it changes eventually after N iterations) are all NaN
*edit: few samples of data, even a one row dataframe, presents the same issue, so it appears to be "fields" related
*edit2: tested, doesnt cnverge after N iterations
The text was updated successfully, but these errors were encountered: