问题
Please help me. I got error AttributeError: 'numpy.ndarray' object has no attribute 'lower' when I try put Pipeline code.
This is the code:
from sklearn.model_selection import train_test_split
X = X.replace([np.inf, -np.inf], np.nan)
y = y.replace([np.inf, -np.inf], np.nan)
X = X.dropna()
y = y.dropna()
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)
from sklearn.feature_extraction.text import CountVectorizer
count_vect = CountVectorizer()
X_train_counts = count_vect.fit_transform(X_train)
from sklearn.feature_extraction.text import TfidfTransformer
tfidf_transformer = TfidfTransformer()
X_train_tfidf = tfidf_transformer.fit_transform(X_train_counts)
from sklearn.feature_extraction.text import TfidfVectorizer
vectorizer = TfidfVectorizer()
X_train_tfidf = vectorizer.fit_transform(X_train)
from sklearn.svm import LinearSVC
clf = LinearSVC()
clf.fit(X_train_tfidf,y_train)
from sklearn.pipeline import Pipeline
text_clf = Pipeline([('tfidf',TfidfVectorizer()),('clf',LinearSVC())])
text_clf.fit(X_train,y_train)
if request.method == 'POST':
message = request.form['message']
data = [message]
vect = vectorizer.transform(data).toarray()
my_prediction = text_clf.predict(vect)
return render_template('result.html',prediction = my_prediction)
SOLVED, this is a new code to fix it in my problem.
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.svm import LinearSVC
from sklearn.pipeline import Pipeline
text_clf = Pipeline([('tfidf',TfidfVectorizer()),('clf',LinearSVC())])
I remove CountVectorizer and TfidfTransformer just it.
来源：https://stackoverflow.com/questions/60191634/solved-svm-attributeerror-numpy-ndarray-object-has-no-attribute-lower-whe