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[bpr_OnlineRetail_Implicit.ipynb]: operands could not be broadcast together with shapes (3664,) (4338,) #44

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hamzafarooq opened this issue Feb 15, 2022 · 2 comments

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@hamzafarooq
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ValueError Traceback (most recent call last)
Input In [9], in
28 # Create recommendations for customer with id 2
29 customer_id = 2
---> 30 recommendations = recommend(customer_id, sparse_customer_item, customer_vecs, item_vecs)
32 print(recommendations)

Input In [9], in recommend(customer_id, sparse_customer_item, customer_vecs, item_vecs, num_items)
9 min_max = MinMaxScaler()
10 rec_vector_scaled = min_max.fit_transform(rec_vector.reshape(-1,1))[:,0]
---> 11 recommend_vector = customer_interactions * rec_vector_scaled
13 item_idx = np.argsort(recommend_vector)[::-1][:num_items]
15 descriptions = []

ValueError: operands could not be broadcast together with shapes (3664,) (4338,)

@tzema
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tzema commented Sep 28, 2022

I have similar issue :/ Bump

@riyaj8888
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replace model section in notebook with following:
`model = implicit.als.AlternatingLeastSquares(factors=20, regularization=0.1, iterations=50)

alpha = 15
data = (sparse_customer_item * alpha).astype('double')

model.fit(data)`

implicit model expects customer_item data

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3 participants