Software Engineering › Learn step by step › Y12 Software Automation
Item 315 of 426 · Year 12: Software Automation, 22 of 35
Neural network code (predict)
Code pattern
Jump to a topic
- Exam format, question types and command words (46)
- Year 11: Programming Fundamentals (69)
- Year 11: The Object-Oriented Paradigm (33)
- Year 11: Programming Mechatronics (29)
- Year 12: Secure Software Architecture (57)
- Year 12: Programming for the Web (59)
- Year 12: Software Automation (35)
- Year 12: The Software Engineering Project (47)
- Diagrams and modelling tools (18)
- Python, SQL, pseudocode and CSS patterns (33)
Definition
Create the model object, train (fit) on training data, then call predict on new data to make predictions.
Example
net.fit(X, y); net.predict(new)Found in: syllabus, course specifications, 2025 HSC marking guidelines, school notes.
Where you'll use it in the test
Syllabus area: Y12 Software Automation.
Question types it can appear in
- Python: Write or complete it in the online Python tool.
- Code reading: Code or algorithm reading: interpret a fragment and state its output or purpose.
How to use it
A model sentence
Code pattern: “Create the model object, train (fit) on training data, then call predict on new data to make predictions.” Then apply it: net.fit(X, y); net.predict(new)
In a short answer, give the definition in your own words first, then tie it to the situation in the question. Do not copy the example above unless it fits the scenario.
Go deeper
- Flashcard: Neural network code (predict) in Software Automation (Year 12) · study that set
- Memorise: Decision trees
- Full term page: every question, note and marking comment for Neural network code (predict)
Check yourself
Write or say the “Neural network code (predict)” pattern from memory: the syntax and what it does.
Reveal the answer
Create the model object, train (fit) on training data, then call predict on new data to make predictions.
Example: net.fit(X, y); net.predict(new)
Could be tested as: Python, Code reading.