CODEWITHSUNDEEP
machine-learningnormalization
james
james

Reputation: 11

Feature Normalization for classification (SVM)

I have some questions about Normalization: When you extract features and you want to normalize your features before classification. How do you do normalize the features ( e.g. the two classes you have)? 1- Do you normalize each class seperatly? or you normalize the two classes together? 2- Do you normalize the whole data before spliting trianing and testing ? or you normalize training first , then normalize each new testing sample separately? 3- Any Reference? book or paper?

Upvotes: 0

Views: 225

Answers (1)

Elliot Doubleday
Elliot Doubleday

Reputation: 11

*Do you normalize the whole data before spliting trianing and testing ?*

There is no need to split the data for training and testing

Code :

from sklearn.preprocessing import StandarScaler
sc_X = StandardScaler()
sc_y = StandardScaler()
x = sc_X.fit_transform(X)
y = sc_y.fit_transform(y)

thanks

Upvotes: 0

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