ある日の10時間の集客率を推定するためのモデルを書いて下さい。
日：昨日
# Import the necessary libraries
import numpy as np
import pandas as pd

# Create a dataframe with the relevant features
df = pd.DataFrame({'day': ['昨日'], 'weather': [], 'temperature': [], 'humidity': [], 'special_events': []})

# Fit the model to predict footfall
model = LinearRegression()
model.fit(df.drop('footfall', axis=1), df['footfall'])

# Make predictions for today
predicted_footfall = model.predict([[day, weather, temperature, humidity, special_events]])

# Print the predictions
print('Predicted footfall today: {}'.format(predicted_footfall[0]))