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text_normalization's Issues

missing csv files

Could you kindly shared missing csv files? such as
measure_trans.csv
plain_trans.csv
letter_capture.csv
money_trans.csv
It is hard to try out the code and evaluate the performance without them.
Thank you!

how do you incorporate functions in features64/ with xgboost model?

After training the model and saving xgboost model, how do you incorporate handmade functions in features64/ to improve the classification?
I particularly do not understand how to organize input to each of the functions in features64/ as "numpy array of n rows and 3 columns".

Any help would be greatly appreciated.
Thank you.

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