ValueError：预期的2D数组，而是标量数组：array = 11

Question

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

dataset = pd.read_csv('C:/Users/Dell/Desktop/Salary.csv')

X = dataset.iloc[:, :-1].values
y = dataset.iloc[:, 1].values

from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=1/3, 
random_state=0)
from sklearn.linear_model import LinearRegression
simplelinearRegresson = LinearRegression()
simplelinearRegresson.fit(X_train, y_train)
y_predict = simplelinearRegresson.predict(X_test)

下面一行有错误：

 y_predict_val = simplelinearRegresson.predict(11)

Answer 1

您需要将标量转换为形状为(number of samples, number of features)的2D数组。

y_predict_val = simplelinearRegresson.predict([[11]])

这是predict方法所期望的。有关更多信息，请参见docs。