kubapok/retroc2
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minor fix

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patrycjalazna 2021-05-16 20:36:26 +02:00
parent 7c67f8511a
commit 418816f27e
1 changed files with 6 additions and 6 deletions
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12
linear-regression.py
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@ -13,8 +13,8 @@ def linear_regression():
colnames_test = ['data'] colnames_test = ['data']
train = pd.read_csv("train/train.tsv", names = colnames_train, sep = "\t") train = pd.read_csv("train/train.tsv", names = colnames_train, sep = "\t")
dev_0 = pd.read_csv("dev-0/in.tsv", error_bad_lines = False, header = None, sep = "\t") dev_0 = pd.read_csv("dev-0/in.tsv", error_bad_lines = False, header = None, sep = "\t", quoting=csv.QUOTE_NONE)
dev_1 = pd.read_csv("dev-1/in.tsv", error_bad_lines = False, header = None, sep = "\t") dev_1 = pd.read_csv("dev-1/in.tsv", error_bad_lines = False, header = None, sep = "\t", quoting=csv.QUOTE_NONE,)
test = pd.read_csv("test-A/in.tsv", names = colnames_test, sep = "\t") test = pd.read_csv("test-A/in.tsv", names = colnames_test, sep = "\t")
# stworzenie instancji TFIDF i regresji liniowej # stworzenie instancji TFIDF i regresji liniowej
@ -29,14 +29,14 @@ def linear_regression():
lin_reg.fit(train_vec, date) lin_reg.fit(train_vec, date)
# predykcja dla dev-0 # predykcja dla dev-0
evaluate_dev = tf(dev_0['data']) evaluate_dev = tf.transform(dev_0['data'])
prediction_dev = lin_reg.predict(evaluate_dev) prediction_dev = lin_reg.predict(evaluate_dev)
pd.DataFrame(prediction_dev).to_csv('dev-0/out.tsv', sep = "\t", index = False, header = False) pd.DataFrame(prediction_dev).to_csv('dev-0/out2.tsv', sep = "\t", index = False, header = False)
# predykcja dla test-A # predykcja dla test-A
evaluate_test = tf(test['data']) evaluate_test = tf.transform(test['data'])
prediction_test = lin_reg.predict(evaluate_test) prediction_test = lin_reg.predict(evaluate_test)
pd.DataFrame(prediction_test).to_csv('test-A/out.tsv', sep = "\t", index = False, header = False) pd.DataFrame(prediction_test).to_csv('test-A/out2.tsv', sep = "\t", index = False, header = False)
return None return None