Dot product of sparse matrix












0















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?



enter image description hereenter image description hereenter image description here










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    0















    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?



    enter image description hereenter image description hereenter image description here










    share|improve this question

























      0












      0








      0








      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?



      enter image description hereenter image description hereenter image description here










      share|improve this question














      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?



      enter image description hereenter image description hereenter image description here







      python scikit-learn naivebayes






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      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)






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          • oooh. I sooo stupid.... thanks

            – hory
            Nov 17 '18 at 21:20











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          1 Answer
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          1 Answer
          1






          active

          oldest

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          active

          oldest

          votes






          active

          oldest

          votes









          1














          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)






          share|improve this answer
























          • oooh. I sooo stupid.... thanks

            – hory
            Nov 17 '18 at 21:20
















          1














          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)






          share|improve this answer
























          • oooh. I sooo stupid.... thanks

            – hory
            Nov 17 '18 at 21:20














          1












          1








          1







          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)






          share|improve this answer













          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)







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 17 '18 at 20:37









          LukeLuke

          2,1381622




          2,1381622













          • 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





          oooh. I sooo stupid.... thanks

          – hory
          Nov 17 '18 at 21:20


















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