Rooba
/
spaCy
mirror of https://github.com/explosion/spaCy.git
1
1
Fork 0
Code Issues Packages Projects Releases Wiki Activity

minor cleanup

This commit is contained in:
Jeffrey Gerard 2017-10-12 12:34:46 -07:00
parent 39d3cbfdba
commit 5ba970b495
1 changed files with 3 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
examples/training/train_ner_standalone.py
View File

@ -6,7 +6,7 @@ To achieve that, it duplicates some of spaCy's internal functionality.
Specifically, in this example, we don't use spaCy's built-in Language class to
wire together the Vocab, Tokenizer and EntityRecognizer. Instead, we write
our own simle Pipeline class, so that it's easier to see how the pieces
our own simple Pipeline class, so that it's easier to see how the pieces
interact.
Input data:
@ -149,7 +149,8 @@ def report_scores(i, loss, scores):
precision = '%.2f' % scores['ents_p']
recall = '%.2f' % scores['ents_r']
f_measure = '%.2f' % scores['ents_f']
print('Epoch %d: %d %s %s %s' % (i, int(loss), precision, recall, f_measure))
print('Epoch %d: %d %s %s %s' % (
i, int(loss), precision, recall, f_measure))
def read_examples(path):