Decision tree issue

#1

my code has been working fine before defining the class. But after I try to print d.train this error is shown – "TypeError Traceback (most recent call last)
in ()
1 d = DecisionTree()
----> 2 d.train(data_cleaned)

in train(self, x_train)
17 self.val = x_train[self.fkey].mean()
18 print(“makin tree feature is”,self.fkey)
—> 19 data_left, data_right = divide_data(x_train, self.fkey, self.fval)
20 data_left = data_left.reset_index(drop = True)
21 data_right = data_right.reset_index(drop = True)

in divide_data(x_data, fkey, fval)
4 for i in range(x_data.shape[0]):
5 val = x_data[fkey].loc[i]
----> 6 if val > fval:
7 x_right = x_right.append(x_data.loc[i])
8 else:

TypeError: ‘>’ not supported between instances of ‘int’ and ‘NoneType’"

#2

Hey sarthak,
I would suggest you to re check you code with what prateek bhaiya has written during the lecture
you can also see the code directly at github: cb.lk/ml18
If you are still not able to find the problem. Add your code on cb.lk/ide, I will have a look at it,

#3

My code is the same and it is working well but only after defining the class i am having problems

#4

This should not be the case :sweat_smile:
Then please share your code on cb.lk/ide

#5

I have done that please have a look

#6

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