YohanObadia

knn_impute(target=df['Age'], attributes=df.drop(['Age', 'PassengerId'], 1),
                                    aggregation_method="median", k_neighbors=10, numeric_distance='euclidean',
                                    categorical_distance='hamming', missing_neighbors_threshold=0.8)

YohanObadia

knn_impute(target=df['Age'], attributes=df.drop(['Age', 'PassengerId'], 1),
                                    aggregation_method="median", k_neighbors=10, numeric_distance='euclidean',
                                    categorical_distance='hamming', missing_neighbors_threshold=0.8)

YohanObadia

import numpy as np
import pandas as pd
from collections import defaultdict
from scipy.stats import hmean
from scipy.spatial.distance import cdist
from scipy import stats
import numbers


def weighted_hamming(data):