In [1]:

    

import numpy as np
from sklearn.metrics.pairwise import cosine_similarity


embeddings = np.load("final_embeddings_2017Oct23.npy")


    

In [3]:

    

from sklearn.metrics.pairwise import cosine_similarity
similarities = cosine_similarity(embeddings)


    

    




---------------------------------------------------------------------------
MemoryError                               Traceback (most recent call last)
<ipython-input-3-61627b4e6646> in <module>()
      1 from sklearn.metrics.pairwise import cosine_similarity
----> 2 similarities = cosine_similarity(embeddings)

G:\ProgramData\Anaconda3\lib\site-packages\sklearn\metrics\pairwise.py in cosine_similarity(X, Y, dense_output)
    923         Y_normalized = normalize(Y, copy=True)
    924 
--> 925     K = safe_sparse_dot(X_normalized, Y_normalized.T, dense_output=dense_output)
    926 
    927     return K

G:\ProgramData\Anaconda3\lib\site-packages\sklearn\utils\extmath.py in safe_sparse_dot(a, b, dense_output)
    138         return ret
    139     else:
--> 140         return np.dot(a, b)
    141 
    142 

MemoryError: 

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