Explore Courses Blog Tutorials Interview Questions
0 votes
1 view
in Machine Learning by (19k points)

#training the model

model_1_features = ['sqft_living', 'bathrooms', 'bedrooms', 'lat', 'long']

model_2_features = model_1_features + ['bed_bath_rooms']

model_3_features = model_2_features + ['bedrooms_squared', 'log_sqft_living', 'lat_plus_long']

model_1 = linear_model.LinearRegression()[model_1_features], train_data['price'])

model_2 = linear_model.LinearRegression()[model_2_features], train_data['price'])

model_3 = linear_model.LinearRegression()[model_3_features], train_data['price'])

# extracting the coef

print model_1.coef_

print model_2.coef_

print model_3.coef_

If I change the order of the features, the coef are still printed in the same order, hence I would like to know the mapping of the feature with the coeff

1 Answer

0 votes
by (33.1k points)

Once you will trained your model, you would know the order of the coefficients:

model_1 = linear_model.LinearRegression()[model_1_features], train_data['price'])

print(list(zip(model_1.coef_, model_1_features)))

You will get to know the coefficients and the correct feature.

If you want to reuse the coefficients later you can also put them in a dictionary:

coef_dict = {}

for coef, feat in zip(model_1.coef_,model_1_features):

    coef_dict[feat] = coef

Hope this answer helps you! Thus, for more details study the Linear Regression Python.

Welcome to Intellipaat Community. Get your technical queries answered by top developers!

28.4k questions

29.7k answers


94.6k users

Browse Categories