Classifier for institution and scholar data
Project description
eric_chen_forward
To use:
from eric_chen_forward.model import Classifier
model = Classifier()
# option 1
# text files of labels and passages respectively, separated by newlines
model.train("labels_file_path", "passages_file_path")
# option 2
# csv file with a 'label' column and 'passage' column, the column names are hardcoded
model.train(csv_file="csv_file_path")
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for eric_chen_forward-0.0.2-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9e96b718bcbc06f911ee5d8e63b670e893a0be2cee2017c2a6fd288c3ebdec7c |
|
| MD5 | 4b3eadeb7f9afce68b06f6682c586ab0 |
|
| BLAKE2b-256 | bcab4f1a5e6534af0477c25805ca83514bfe5e229297f5805508b7213875e9ef |
