Starting Out with Python (3rd Edition)
3rd Edition
ISBN: 9780133582734
Author: Tony Gaddis
Publisher: PEARSON
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Expert Solution & Answer
Chapter 9, Problem 18SA
Explanation of Solution
Set “difference()” method:
- • The Python set is used to create the unordered collection of unique objects.
- • The built-in “set()” function is used in Python to create the sets.
- • The set difference operation is used to find the elements in a set that is not present in another set.
- • The “difference ()” method in Python is used to perform the set difference operation between sets.
- • Since the difference operation is not symmetric interchanging the operand sets will produce different results.
Syntax:
In Python, the “difference ()” method can be used to find the set difference of sets as follows:
set1.difference (set2)
Program:
#create the set set1 with three character type members
set1 = set(['d', 'e', 'f'])
#create the set set2 with five character type members
set2 = set(['a', 'b', 'c', 'd', 'e'])
#find the difference of set2 from set1
set3 = set2.difference(set1)
#display the difference set set3
print(set3)
Explanation:
In the above Python program,
- • The first statement is to create the set “set1” with elements “d”, “e”, and “f”...
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Need help with coding in this in python!
In the diagram, there is a green arrow pointing from Input C (complete data) to Transformer Encoder S_B, which I don’t understand. The teacher model is trained on full data, but S_B should instead receive missing data—this arrow should not point there. Please verify and recreate the diagram to fix this issue. Additionally, the newly created diagram should meet the same clarity standards as the second diagram (Proposed MSCATN). Finally provide the output image of the diagram in image format .
Please provide me with the output image of both of them . below are the diagrams code
make sure to update the code and mentionned clearly each section also the digram should be clearly describe like in the attached image. please do not provide the same answer like in other question . I repost this question because it does not satisfy the requirment I need in terms of clarifty the output of both code are not very well details
I have two diagram :
first diagram code
graph LR subgraph Teacher Model (Pretrained) Input_Teacher[Input C (Complete Data)] --> Teacher_Encoder[Transformer Encoder T] Teacher_Encoder --> Teacher_Prediction[Teacher Prediction y_T] Teacher_Encoder --> Teacher_Features[Internal Features F_T] end subgraph Student_A_Model[Student Model A (Handles Missing Values)] Input_Student_A[Input M (Data with Missing Values)] --> Student_A_Encoder[Transformer Encoder E_A] Student_A_Encoder --> Student_A_Prediction[Student A Prediction y_A] Student_A_Encoder…
Chapter 9 Solutions
Starting Out with Python (3rd Edition)
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