Sklearn PCA potential memory leak

sklearn_memory_leak.py

import os

import psutil
import numpy as np
import sklearn.decomposition

def memory_usage():
    return psutil.Process(os.getpid()).memory_info().rss / 1024 ** 2

def pca(X):
    model = sklearn.decomposition.PCA(n_components=5)
    pc = model.fit_transform(X)
    del model
    return pc

if __name__ == "__main__":
    X = np.random.random((1000,10000))
    for i in range(100):
        pc = pca(X)
        del pc
        print(i, int(memory_usage()), "MB")