Https://ide.codingblocks.com/s/196930

#1

When i try to run line 65 that is when i train my model then after 2-3 min the kernel dies and restarts.

#2

Hey @Aayush, this is due to the reason that, you memeory overflows for the ram, since the datset size is quite large. So you can use sparse matrix or switch to google colab, they provide you with free 25 gb of ram.

Hope this cleared your doubt. :blush:
Plz mark the doubt as resolved in my doubts section.

#3

@S18CRX0120
How can i use sparse matrix because when i m using :

from scipy.sparse import csr_matrix
x_vector = csr_matrix(x_vector)

then also kernel restarts

#4

Hey @Aayush, you just need to make a very little change in your code and than it will use sparse matrix for training,
In line 58 of https://ide.codingblocks.com/s/196930
just remove .toarray() at end.

This means change from
x_vector = cv.fit_transform(x_train).toarray()

to
x_vector = cv.fit_transform(x_train)

Now your code will be able to run on your system.

Hope this resolved your doubt.
Plz mark doubt as resolved in my doubts section :blush:

1 Like
#5

It worked thanx :slight_smile:

#6

@S18CRX0120


But when i save the predictions according to the sample submission then when i submit it i get “Errored !”
Here is the link to my csv file : https://drive.google.com/open?id=1ewdHzT_zQEVh14i9zvv9BHeW6kUJBl4H

#7

Hey @Aayush, you have to submit predictions for test file in Test folder named as “Test.csv”

Hope this resolved your doubt :blush:

#8

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