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authorBobby <[email protected]>2022-12-02 19:02:33 -0500
committerGitHub <[email protected]>2022-12-02 19:02:33 -0500
commit6496fb95432618f64cf23be0cd0eac362b3af3ed (patch)
tree2b55c918af459621d2a0d15f3f345171e6721520 /src/windows/modeltrainer.py
parentaf2ada7022d75411f2d74a4a4d2c95dfe3eb2e3a (diff)
parent2fbbc2c07f306c6edd1ab543b03b6fc905b9fa3a (diff)
downloadRedditEngagementPrediction-6496fb95432618f64cf23be0cd0eac362b3af3ed.tar.xz
RedditEngagementPrediction-6496fb95432618f64cf23be0cd0eac362b3af3ed.zip
Merge pull request #9 from luciferreeves/main
Reqs added
Diffstat (limited to 'src/windows/modeltrainer.py')
-rw-r--r--src/windows/modeltrainer.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/src/windows/modeltrainer.py b/src/windows/modeltrainer.py
index 25b49c9..1d332fe 100644
--- a/src/windows/modeltrainer.py
+++ b/src/windows/modeltrainer.py
@@ -148,7 +148,7 @@ class ModelTrainer(customtkinter.CTkToplevel):
# select only text, subreddit, link_flair_text, distinguished, hour, day, ups, num_comments
self.posts_ups = self.posts[self.categorical_features + self.text_features + ['ups']]
self.posts_num_comments = self.posts[self.categorical_features + self.text_features + ['num_comments']]
- self.tfidf = TfidfVectorizer(sublinear_tf=True, min_df=5, norm='l2', encoding='latin-1', ngram_range=(1, 2), stop_words='english')
+ self.tfidf = TfidfVectorizer()
self.label_binarizer = LabelBinarizer()
self.edit_textbox('Preparing Data (Upvotes)', 1, 'wait')