質問編集履歴
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コードの追加
test
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コードは以下になります。
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```python
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from flask import Flask, render_template, request
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from wtforms import Form, TextAreaField, validators
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import pickle
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import sqlite3
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import os
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import numpy as np
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from vectorizer import vect
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app = Flask(__name__)
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cur_dir = os.path.dirname(__file__)
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clf = pickle.load(open(os.path.join(cur_dir, 'pkl_objects', 'classifier.pkl'),
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'rb'))
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db = os.path.join(cur_dir, 'reviews.sqlite')
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def classify(document):
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label = {0: 'negative', 1: 'positive'}
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X = vect.transform([document])
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y = clf.predict(X)[0]
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proba = clf.predict_proba(X).max()
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return label[y], proba
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def train(document, y):
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X = vect.transform([document])
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clf.partial_fit(X, [y])
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def sqlite_entry(path, document, y):
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conn = sqlite3.connect(path)
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c = conn.cursor()
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c.execute("INSERT INTO review_db (review, sentiment, date)"\
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" VALUES (?, ?, DATETIME('now'))", (document, y))
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conn.commit()
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conn.close()
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class ReviewForm(Form):
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moviereview = TextAreaField('',
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[validators.DataRequired(),
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validators.length(min=15)])
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@app.route('/')
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def index():
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form = ReviewForm(request.form)
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return render_template('reviewform.html', form=form)
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@app.route('/results', methods=['POST'])
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def results():
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form = ReviewForm(request.form)
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if request.method == 'POST' and form.validate():
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review = request.form['moviereview']
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y, proba = classify(review)
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return render_template('results.html',
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content=review,
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prediction=y,
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probability=round(proba*100, 2))
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return render_template('reviewform.html', form=form)
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@app.route('/thanks', methods=['POST'])
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def feedback():
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feedback = request.form['feedback_button']
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review = request.form['review']
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prediction = request.form['prediction']
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inv_label = {'negative': 0, 'positive': 1}
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y = inv_label[prediction]
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if feedback == 'Incorrect':
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y = int(not(y))
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train(review, y)
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sqlite_entry(db, review, y)
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return render_template('thanks.html')
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if __name__ == '__main__':
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app.run()
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```
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エラーログは以下です。
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2018-09-28 14:56:46,612: Exception on /thanks [POST]#012Traceback (most recent call last):#012 File "/usr/lib/python3.5/site-packages/flask/app.py", line 2292, in wsgi_app#012 response = self.full_dispatch_request()#012 File "/usr/lib/python3.5/site-packages/flask/app.py", line 1815, in full_dispatch_request#012 rv = self.handle_user_exception(e)#012 File "/usr/lib/python3.5/site-packages/flask/app.py", line 1718, in handle_user_exception#012 reraise(exc_type, exc_value, tb)#012 File "/usr/lib/python3.5/site-packages/flask/_compat.py", line 35, in reraise#012 raise value#012 File "/usr/lib/python3.5/site-packages/flask/app.py", line 1813, in full_dispatch_request#012 rv = self.dispatch_request()#012 File "/usr/lib/python3.5/site-packages/flask/app.py", line 1799, in dispatch_request#012 return self.view_functions[rule.endpoint](**req.view_args)#012 File "/home/1976kaca/movieclassifier/app.py", line 67, in feedback#012 train(review, y)#012 File "/home/1976kaca/movieclassifier/app.py", line 26, in train#012 clf.partial_fit(X, [y])#012 File "/usr/lib/python3.5/site-packages/sklearn/linear_model/stochastic_gradient.py", line 540, in partial_fit#012 self._validate_params()#012 File "/usr/lib/python3.5/site-packages/sklearn/linear_model/stochastic_gradient.py", line 89, in _validate_params#012 if self.max_iter is not None and self.max_iter <= 0:#012AttributeError: 'SGDClassifier' object has no attribute 'max_iter'
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