Dot product of sparse matrix
Im reading implementation of the Multinomial Naive Bayes and I do not understand how does this following calculation of dot product of the following matrixes work.
self.feature_count_ += safe_sparse_dot(Y.T, X)
Code can be found here
Where Y.T.shape = (3, 7000) and X.shape = (7000, 27860). How can it work when number of rows in the Y.T is not equal to number of columns in X? The size of the resulting matrix is (3, 27860) ?? How does it work? What am I missing?



python scikit-learn naivebayes
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Im reading implementation of the Multinomial Naive Bayes and I do not understand how does this following calculation of dot product of the following matrixes work.
self.feature_count_ += safe_sparse_dot(Y.T, X)
Code can be found here
Where Y.T.shape = (3, 7000) and X.shape = (7000, 27860). How can it work when number of rows in the Y.T is not equal to number of columns in X? The size of the resulting matrix is (3, 27860) ?? How does it work? What am I missing?



python scikit-learn naivebayes
add a comment |
Im reading implementation of the Multinomial Naive Bayes and I do not understand how does this following calculation of dot product of the following matrixes work.
self.feature_count_ += safe_sparse_dot(Y.T, X)
Code can be found here
Where Y.T.shape = (3, 7000) and X.shape = (7000, 27860). How can it work when number of rows in the Y.T is not equal to number of columns in X? The size of the resulting matrix is (3, 27860) ?? How does it work? What am I missing?



python scikit-learn naivebayes
Im reading implementation of the Multinomial Naive Bayes and I do not understand how does this following calculation of dot product of the following matrixes work.
self.feature_count_ += safe_sparse_dot(Y.T, X)
Code can be found here
Where Y.T.shape = (3, 7000) and X.shape = (7000, 27860). How can it work when number of rows in the Y.T is not equal to number of columns in X? The size of the resulting matrix is (3, 27860) ?? How does it work? What am I missing?



python scikit-learn naivebayes
python scikit-learn naivebayes
asked Nov 17 '18 at 20:25
horyhory
90119
90119
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Check out the "Mulitplying a matrix by another matrix" section here: https://www.mathsisfun.com/algebra/matrix-multiplying.html
If you go through the multiplication, you'll see that only the "inner" dimensions have to match (the 7000 in your case)
oooh. I sooo stupid.... thanks
– hory
Nov 17 '18 at 21:20
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1 Answer
1
active
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votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Check out the "Mulitplying a matrix by another matrix" section here: https://www.mathsisfun.com/algebra/matrix-multiplying.html
If you go through the multiplication, you'll see that only the "inner" dimensions have to match (the 7000 in your case)
oooh. I sooo stupid.... thanks
– hory
Nov 17 '18 at 21:20
add a comment |
Check out the "Mulitplying a matrix by another matrix" section here: https://www.mathsisfun.com/algebra/matrix-multiplying.html
If you go through the multiplication, you'll see that only the "inner" dimensions have to match (the 7000 in your case)
oooh. I sooo stupid.... thanks
– hory
Nov 17 '18 at 21:20
add a comment |
Check out the "Mulitplying a matrix by another matrix" section here: https://www.mathsisfun.com/algebra/matrix-multiplying.html
If you go through the multiplication, you'll see that only the "inner" dimensions have to match (the 7000 in your case)
Check out the "Mulitplying a matrix by another matrix" section here: https://www.mathsisfun.com/algebra/matrix-multiplying.html
If you go through the multiplication, you'll see that only the "inner" dimensions have to match (the 7000 in your case)
answered Nov 17 '18 at 20:37
LukeLuke
2,1381622
2,1381622
oooh. I sooo stupid.... thanks
– hory
Nov 17 '18 at 21:20
add a comment |
oooh. I sooo stupid.... thanks
– hory
Nov 17 '18 at 21:20
oooh. I sooo stupid.... thanks
– hory
Nov 17 '18 at 21:20
oooh. I sooo stupid.... thanks
– hory
Nov 17 '18 at 21:20
add a comment |
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