Я пытаюсь сделать модель линейной регрессии. Пожалуйста, помогите
database = pd.read_csv('Salary_Data.csv')
x = database.iloc[:,0].values
y = database.iloc[:,1].values
x_train = x_train.reshape(1,-1)
y_train = y_train.reshape(1,-1)
x_test = x_test.reshape(1,-1)
y_test = y_test.reshape(1,-1)
from sklearn.linear_model import LinearRegression
regressor= LinearRegression()
regressor.fit(x_train, y_train)
#predicting the test set results
y_pred = regressor.predict(x_test)
Ошибка:
ValueError: matmul: Input operand 1 has a mismatch in its core dimension 0, with gufunc signature (n?,k),(k,m?)->(n?,m?) (size 20 is different from 10)