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class LogisticRegressionSentiment(Base): | |
"""Predict fine-grained sentiment scores using a sklearn Logistic Regression pipeline.""" | |
def __init__(self, model_file: str=None) -> None: | |
super().__init__() | |
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer | |
from sklearn.linear_model import LogisticRegression | |
from sklearn.pipeline import Pipeline | |
self.pipeline = Pipeline( | |
[ | |
('vect', CountVectorizer()), | |
('tfidf', TfidfTransformer()), | |
('clf', LogisticRegression(solver='liblinear', multi_class='auto')), | |
] | |
) | |
def predict(self, train_file: str, test_file: str, lower_case: bool=False) -> pd.DataFrame: | |
"Train model using sklearn pipeline" | |
train_df = self.read_data(train_file, lower_case) | |
learner = self.pipeline.fit(train_df['text'], train_df['truth']) | |
# Predict class labels using the learner and output DataFrame | |
test_df = self.read_data(test_file, lower_case) | |
test_df['pred'] = learner.predict(test_df['text']) | |
return test_df |
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