How to use datasets.fetch_mldata() in sklearn?

Question

I am trying to run the following code for a brief machine learning algorithm:

import re
import argparse
import csv
from collections import Counter
from sklea         


        

Answer 1

As of version 0.20, sklearn deprecates fetch_mldata function and adds fetch_openml instead.

Download MNIST dataset with the following code:

from sklearn.datasets import fetch_openml
mnist = fetch_openml('mnist_784')

There are some changes to the format though. For instance, mnist['target'] is an array of string category labels (not floats as before).