JGS594 Lecture 11

Software Engineering for Machine Learning
Working with a Model
(202202)

Transcript

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   SER 594
   Software Engineering for
   Machine Learning
   Lecture 11: Working with a Model
   Dr. Javier Gonzalez-Sanchez
   javiergs@asu.edu
   javiergs.engineering.asu.edu | javiergs.com
   PERALTA 230U
   Office Hours: By appointment
   

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   Previously …
   

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3. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 3
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   Listeners
   https://refactoring.guru/design-patterns/observer
   

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4. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 4
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   Listeners
   // add this before calling fit()
   model.setListeners(new MyListener());
   

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5. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 5
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   MyListener
   

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6. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 6
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   Output
   …
   

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7. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 7
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   Output
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   Deploy the Model
   

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9. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 9
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   Save the Model
   

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10. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 10
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    Load the Model
    Load the updater
    

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    Create an Application
    Iris Model
    

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12. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 12
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    Application
    

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13. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 13
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    Application
    /
    / int [] y = model.predict (input)
    /
    / y[0]
    

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14. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 14
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    Can we create a GUI?
    SEPAL LENGTH:
    SEPAL WIDTH:
    PETAL LENGTH:
    PETAL WIDTH:
    IRIS TYPE:
    Calculate
    

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    Create an Application
    MNIST Model
    

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16. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 16
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    Goal
    

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17. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 17
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    UML
    

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18. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 18
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    Main.java (1/4)
    

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19. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 19
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    Main.java (2/4)
    

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20. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 20
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    Main.java (3/4)
    

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21. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 21
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    Main.java (4/4)
    

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22. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 22
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    DrawArea.java (1/2)
    

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23. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 23
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    DrawArea.java (2/2)
    

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24. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 24
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    InputImage.java (1/2)
    

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25. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 25
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    InputImage.java (2/2)
    

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    Assignment 04
    Application
    

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27. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 27
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    Assignment 04
    1. Select a new dataset.
    Lecture 08
    https://archive-beta.ics.uci.edu
    Your own CSV data from a project you are working on
    2. Create a Java Program for training a model until achieving a good performance (0.05). Save the model.
    This can be console application or GUI. Your choice.
    3. Create a Java Application that use the model.
    It should have a GUI
    Allow the user to input data: load an image, text, etc.
    Show a result/classification
    § You can work in a team of 2 or 3. No more than 3. Individual is OK.
    § Include Javadoc for classes and methods.
    https://www.oracle.com/technical-resources/articles/java/javadoc-tool.html
    § Submit java files. How many files?
    

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28. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 28
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    Questions
    

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    SER 594 Software Engineering for Machine Learning
    Javier Gonzalez-Sanchez, Ph.D.
    javiergs@asu.edu
    Spring 2022
    Copyright. These slides can only be used as study material for the class CSE205 at Arizona State University.
    They cannot be distributed or used for another purpose.
    

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