### Getting and preparing data
$ wget https://dl.fbaipublicfiles.com/fasttext/data/cooking.stackexchange.tar.gz && tar xvzf cooking.stackexchange.tar.gz
$ ls
cooking.stackexchange.id
$ head cooking.stackexchange.txt
__label__sauce __label__cheese How much does potato starch affect a cheese sauce recipe?
__label__food-safety __label__acidity Dangerous pathogens capable of growing in acidic environments
__label__cast-iron __label__stove How do I cover up the white spots on my cast iron stove?
“__label__” prefix is how fasttext recognize difference of word and label.
$ wc cooking.stackexchange.txt
15404 169582 1401900 cooking.stackexchange.txt
-> split example and validation
$ head -n 12404 cooking.stackexchange.txt > cooking.train
$ tail -n 3000 cooking.stackexchange.txt > cooking.valid
### train_supervised
training.py
import fasttext model = fasttext.train_supervised(input="cooking.train")
$ python3 training.py
Read 0M words
Number of words: 14543
Number of labels: 735
Floating point exception
何故だ〜〜〜〜〜〜〜〜〜〜
