Light fm cold start problem

def cold_start_similar_items(feat_idxs, item_feat_mtx, model, N=10:
    feat_mat = scipy.sparse.coo_matrix((np.ones_like(feat_idxs),
                                       (feat_idxs, np.zeros_like(feat_idxs))))
    repr, bias = model.item_embeddings(feat_mat)
    scores = item_representation.dot(repr[0].T)
   
    # snip

Source: github.com

Similar codes

0 vote334 views1 answer
Extract all bounding boxes using OpenCV Python
Python
18 votes319 views4 answers
Create a venv
Python
12 votes320 views3 answers
Python program to add two numbers with user input
Python
3 votes325 views3 answers
Pandas date_range
Python
0 vote338 views1 answer
Python enumerate unique values
Python
3 votes349 views2 answers
Python sum only numbers
Python
36 votes337 views6 answers
Move files in python
Python
0 vote392 views1 answer
Open dicom images python
Python
0 vote346 views1 answer
Views.MainView.as_view(), name='all'
Python
24 votes304 views4 answers
Return max integer from list
Python