Nearest neighbors imputation

# Nearest neighbors imputation

import numpy as np
from sklearn.impute import KNNImputer
nan = np.nan
X = [[1, 2, nan], [3, 4, 3], [nan, 6, 5], [8, 8, 7]]
imputer = KNNImputer(n_neighbors=2, weights="uniform")
imputer.fit_transform(X)
# array([[1. , 2. , 4. ],
#        [3. , 4. , 3. ],
#        [5.5, 6. , 5. ],
#        [8. , 8. , 7. ]])

Source: scikit-learn.org

Similar codes

0 vote172 views1 answer
Selenium exception handling python
Python
2 votes155 views1 answer
Jinja inheritance
Python
56 votes159 views5 answers
Python format datetime
Python
11 votes140 views2 answers
Python all permutations of a string
Python
0 vote149 views1 answer
Password protected mongo server
Python
0 vote156 views1 answer
Flask_uploads.exceptions.UploadNotAllowed
Python Flask
-1 vote130 views1 answer
How to give values to all users with discord api python grepper
Python
0 vote145 views1 answer
Save datetime day in seperate column
Python
13 votes101 views1 answer
Install python2.7 ubuntu
Python
15 votes138 views6 answers
Pandas groupby multiple columns
Python