Save machine learning model

Save machine learning model python

model.fit(X_train, Y_train)
# save the model to disk
filename = 'finalized_model.sav'
pickle.dump(model, open(filename, 'wb'))
 
# load the model from disk
loaded_model = pickle.load(open(filename, 'rb'))
result = loaded_model.score(X_test, Y_test)

Save machine learning model

# fit the model
model.fit(X_train, y_train)

# save the model
import pickle
pickle.dump(model, open("model.pkl", "wb"))

# load the model
model = pickle.load(open("model.pkl", "rb"))

# use model to predict
y_pred = model.predict(X_input)

Similar codes

2 votes187 views1 answer
Generate a list of random non repeated numbers python
Python
16 votes198 views1 answer
Importlib.reload not working
Python
0 vote190 views1 answer
Read file from form input type filepython
Python
0 vote195 views1 answer
Create nested dictionary with user input in python
Python
1 vote181 views1 answer
Python reference script directory
Python
0 vote176 views1 answer
Custom permission class django rest framework
Python
9 votes184 views4 answers
Pandas count number of rows with value
Python
29 votes220 views2 answers
Replace values of pandas column
Python
0 vote200 views1 answer
Dataframe how to substruct 2 dates
Python
0 vote204 views1 answer
Inspect last 5 rows of dataframe
Python