Not able to fill missing values

[abhishekmamdapure]

Hello,

According to Missing Value Imputation section, I am trying out to fill the missing values but the syntax is not mentioned. I am in search of the syntax to impute the missing values as mentioned on the page.

I tried to use the following code but that does not work.

import pycaret
from pycaret.datasets import get_data
hepatitis = get_data('hepatitis')

# Importing module and initializing setup
from pycaret.classification import *
clf1 = setup(data = hepatitis, target = 'Class',numeric_imputation='mean',categorical_imputation = 'mode')

The above code did not work and the missing values still exist in the dataset. Kindly, provide the syntax for the same.

Thanks

[pycaret]

Can you please share the dataset and the code you are using?

[abhishekmamdapure]

Hello,

I am using the same dataset mentioned in the pycaret which is 'hepatitis' and the code that I have used is mentioned above.

I am looking for the syntax to fill the missing values using the pycaret library.

[abhishekmamdapure]

Hello,

Can I kindly get any update on this?

[pycaret]

@abhishekmamdapure The missing values are imputed automatically. See an example how you can see imputed values.

from pycaret.datasets import get_data
data = get_data('hepatitis')

from pycaret.classification import *
clf1 = setup(data, target = 'Class')
clf1[0]

See how NaN is imputed on instance 3 in STERIOD column.

[WebDevelopmentLabs]

I am also having the same problem and it is not imputing the missing values. I am using a heart disease dataset. Shall I share that here?