[FIXED] Intro to machine learning naive bayes classifier return statement

Issue

I try to learn machine learning from Udacity's Intro to machine learning course.

Lesson 2- Naive Bayes quiz 19: Gaussian NB Deployment on Terrain Data

I have to add some code in the classifyNB.py file which I have added

def classify(features_train, labels_train):   
### import the sklearn module for GaussianNB
### create classifier
### fit the classifier on the training features and labels
### return the fit classifier


### your code goes here!
from sklearn.naive_bayes import GaussianNB
clf = GaussianNB()
clf.fit(features_train, labels_train)
return((features_train, labels_train) 

But the code did not compile and threw some errors.

Any idea what should I write in order to return the fit classifier

Solution

I did the same exercise this way

def classify(features_train, labels_train):

### import the sklearn module for GaussianNB
### create classifier
### fit the classifier on the training features and labels
### return the fit classifier


### your code goes here!

from sklearn.naive_bayes import GaussianNB
clf = GaussianNB()
clf.fit(features_train, labels_train)
return clf 

Answered By - Israel Veleces