Python代寫|Assignment代寫 - COMP9418 Advanced Topics in Statistical Machine Learning
There is a maximum file size cap of 5MB, so make sure your submission files do not in total exceed this size.
You are allowed to use any Python library used in the tutorial notebooks or given in the example code.
No other library will be accepted, particularly libraries for graph and Bayesian network representation and
operation. Also, you can reuse any piece of source code developed in the tutorials.
Submit your files using give. On a CSE Linux machine, type the following on the command-line:
$ give cs9418 ass2 solution.py report.pdf *.csv *.py *.pickle
Zero or more csv or pickle files can be submitted to store the parameters of your model, to be loaded
by solution.py during testing. Nov 12th: You may submit data.csv as one of your files, if your
program needs it. Zero or more python helper files may be included in the submission, if you want to
organise your code using multiple files.
Alternatively, you can submit your solution via WebCMS.
Recall the guidance regarding plagiarism in the course introduction: this applies to this assignment, and if
evidence of plagiarism is detected, it will result in penalties ranging from loss of marks to suspension.