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the name implies, the cart algorithm can be used both to create a classification tree (classification tree), or to create a regression tree (Regression trees), model tree, the two are slightly different in the process of building. In this paper, "The classical algorithm of machine learning and the implementation of Python (decision tree)", the principle of classification decision tree and the algorithm of
refreshCart function to re-paint the Shopping Cart Based on the returned latest entry data.
In the template above, the javascript part is divided into two blocks: {% block js %} js functions used to embed a specific page (corresponding to the parent template; {% block on_ready %} is used to embed a specific page $ (document ). ready processing. Combined with the block defined in base.html, you can make the
#作业3: Shopping Cart Program#启动程序后, let the user enter the payroll, and then print the list of items#允许用户根据商品编号购买商品#用户选择商品后, check whether the balance is enough, enough to direct debit, not enough to remind#用户可以一直购买商品, you can also exit at any time, when you exit, print the goods and balances you have purchased# ideas. part1# to use formatted output# to use the loop# First make a list of items, the index num
= Mat (one S ((1,n+1))) X[:,1:n+1]=indat25 return float (X*model) 26 27 #==============================28 # Input: # tre E: To traverse the tree # Indat: Test data # Modeleval: Leaf value Picker 32 # Output: 33 # Classification Results #==============================35 de F Treeforecast (tree, InData, modeleval=regtreeeval): 36 ' prediction using regression/model tree (modeleval parameter specified) ' 37 38 # If non-tree type, return value. If not Istree (tree): Return Modeleval (tree, InData)
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