/Python/Randomforestregressor in sklearn

Randomforestregressor in sklearn

from sklearn.ensemble import RandomForestRegressor
from sklearn.datasets import make_regression
X, y = make_regression(n_features=4, n_informative=2,
                       random_state=0, shuffle=False)
regr = RandomForestRegressor(max_depth=2, random_state=0)
regr.fit(X, y)

print(regr.predict([[0, 0, 0, 0]]))

Similar codes

2 votes336 views1 answer
Python force string parameter
Python
0 vote352 views2 answers
Cors python functions framework local
Python
0 vote352 views1 answer
Kneighbours regressor sklearn
Python
2 votes357 views1 answer
Import validation error in django
Python
0 vote403 views1 answer
Intersection python dict
Python
0 vote353 views1 answer
Filter with List Comprehension
Python
-1 vote395 views1 answer
Django email verification
Python
3 votes340 views2 answers
Request.get_json() return in flask
Python
128 votes419 views6 answers
Installing pip
Python
1 vote318 views1 answer
Python - Change List Items
Python