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

8 votes219 views2 answers
How to clear a list in python
Python
-2 votes190 views2 answers
Python list with several same values
Python
0 vote178 views1 answer
How to unpivot dataframe pandas
Python
1 vote183 views1 answer
Pandas sample rows
Python
1 vote183 views1 answer
USB: usb_device_handle_win.cc:1049 Failed to read descriptor from node connection: A device attached to the system is not functioning. (0x1F)
Python
0 vote162 views1 answer
Form valid
Python
0 vote223 views1 answer
How to store a int value in django sessions
Python Django
0 vote178 views1 answer
How to read panda column
Python
1 vote214 views2 answers
Django make new application folder
Python Django
1 vote164 views1 answer
Print a to z in python
Python