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Gopala Krishna commited on
Commit
9063ba0
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1 Parent(s): a942894

Working with stock_code parameter

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Files changed (7) hide show
  1. .vs/IBCFProductRecommendations/FileContentIndex/4fd1475c-3367-4410-b2d1-2b97be4ecb26.vsidx +0 -0
  2. .vs/IBCFProductRecommendations/FileContentIndex/7428d67e-472c-4236-a026-111dcdf48d28.vsidx +0 -0
  3. .vs/IBCFProductRecommendations/FileContentIndex/d36c4651-d804-4ac6-b598-bf53344d6496.vsidx +0 -0
  4. .vs/IBCFProductRecommendations/FileContentIndex/ef4b1799-0292-49f2-abd8-9b28cc4edb00.vsidx +0 -0
  5. .vs/IBCFProductRecommendations/v17/.wsuo +0 -0
  6. .vs/slnx.sqlite +0 -0
  7. app.py +5 -2
.vs/IBCFProductRecommendations/FileContentIndex/4fd1475c-3367-4410-b2d1-2b97be4ecb26.vsidx ADDED
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.vs/IBCFProductRecommendations/FileContentIndex/7428d67e-472c-4236-a026-111dcdf48d28.vsidx ADDED
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.vs/IBCFProductRecommendations/FileContentIndex/d36c4651-d804-4ac6-b598-bf53344d6496.vsidx DELETED
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.vs/IBCFProductRecommendations/FileContentIndex/ef4b1799-0292-49f2-abd8-9b28cc4edb00.vsidx DELETED
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.vs/IBCFProductRecommendations/v17/.wsuo CHANGED
Binary files a/.vs/IBCFProductRecommendations/v17/.wsuo and b/.vs/IBCFProductRecommendations/v17/.wsuo differ
 
.vs/slnx.sqlite CHANGED
Binary files a/.vs/slnx.sqlite and b/.vs/slnx.sqlite differ
 
app.py CHANGED
@@ -30,7 +30,10 @@ def find_similar_items(stock_code):
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  item_item_similarity_matrix['StockCode'] = CustomerID_Item_matrix.T.index
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  item_item_similarity_matrix = item_item_similarity_matrix.set_index('StockCode')
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- # Randomly pick StockCode (22865) to display the most similar StockCode.
 
 
 
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  top_5_similar_items = list(
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  item_item_similarity_matrix\
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  .loc[stock_code]\
@@ -39,7 +42,7 @@ def find_similar_items(stock_code):
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  .index
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  )
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- # Return the list of similar items of StockCode (23166) with item Description.
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  results_df = df1a.loc[df1a['StockCode'].isin(top_5_similar_items), ['StockCode', 'Description']].drop_duplicates().set_index('StockCode').loc[top_5_similar_items]
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  return "\n" + results_df.to_string()
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  item_item_similarity_matrix['StockCode'] = CustomerID_Item_matrix.T.index
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  item_item_similarity_matrix = item_item_similarity_matrix.set_index('StockCode')
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+ # Convert stock_code to integer
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+ stock_code = int(stock_code)
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+
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+ # Find the top 5 most similar items
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  top_5_similar_items = list(
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  item_item_similarity_matrix\
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  .loc[stock_code]\
 
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  .index
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  )
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+ # Return the list of similar items of the given StockCode with item Description.
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  results_df = df1a.loc[df1a['StockCode'].isin(top_5_similar_items), ['StockCode', 'Description']].drop_duplicates().set_index('StockCode').loc[top_5_similar_items]
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  return "\n" + results_df.to_string()
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