Category Encoders companion gist

category_encoders_gist.ipynb

your notebooks/posts are so easy to follow! I have spend the better part of this afternoon reviewing your posts. Thanks for sharing!

@marcelkore thanks for taking the time to drop a comment -- it helps to know I am not talking to myself and someone finds this useful! =)

I had a problem with Hashing Encoder and it seems like the problem may also happens to yours since I used all your code exactly the same.
Would you mind if you come and visit my github and see the problem?
Here is the URL : https://github.com/HaeHwan/hello-world/blob/master/Hashing(2).ipynb

The main problem is that HashEncoder doesn't change the columns at all as you can see on the above URL.

Thanks.

Hi @HaeHwan

That's strange .... I cannot duplicate your error. If you try running the following file in the terminal, what do you get?

import pandas as pd
import category_encoders as ce

print(f"""
  Version check:
  --------------
      Pandas version:            {pd.__version__}
      Category Encoders version: {ce.__version__}
""")

df_train = pd.read_csv('https://raw.githubusercontent.com/kiwidamien/StackedTurtles/master/content/preprocessing/simple_loan_example.csv')

encoder_purpose = ce.HashingEncoder(n_components=3, cols=['purpose'])
df_transform = encoder_purpose.fit_transform(df_train)

print(df_transform)

For reference, my output is

  Version check:
  --------------
      Pandas version:            0.24.2
      Category Encoders version: 2.1.0

   col_0  col_1  col_2  annual_income  debt_to_income  loan_amount grade  repaid
0      0      0      1         120000           0.100         3500     A    True
1      0      0      1         130000           0.500        13800     C   False
2      0      0      1         220000           0.400        33500     B   False
3      0      0      1          65000           0.250         2000     B   False
4      0      0      1          60000           0.200         2200     B    True
5      1      0      0          45000           0.312         5500     D    True
6      1      0      0          75000           0.111         2000     B    True
7      0      1      0          24000           0.400          500     C   False

oh finally I solved it! maybe the problem was process number within my laptop pc. I plug "max_process = 1" and now it works thank you for your kindness

Hi @kiwidamien, Thanks for sharing this. It helps me a lot. I'm unable to open the link to "An introduction to pipelines". Can you please look into this?