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added model training

This commit is contained in:
s464953 2024-05-09 00:23:19 +02:00
parent 8e9f37aaff
commit 8834036711
1 changed files with 2 additions and 2 deletions
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4
model_creator.py
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@ -80,7 +80,7 @@ check_datasets_presence()
result_df = datasets_preparation()
Y = result_df[['playlist_genre']]
X = result_df.drop(columns='playlist_genre')
X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=sys.argv[1], random_state=42)
X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=float(sys.argv[1]), random_state=42)
Y_train = np.ravel(Y_train)
@ -91,7 +91,7 @@ numeric_columns = X_train.select_dtypes(include=['int', 'float']).columns
X_train_scaled = scaler.fit_transform(X_train[numeric_columns])
X_test_scaled = scaler.transform(X_test[numeric_columns])
model = LogisticRegression(max_iter=sys.argv[2])
model = LogisticRegression(max_iter=int(sys.argv[2]))
model.fit(X_train_scaled, Y_train)