This is the repository for Assignment 2 for IAML 2020.
N.B.: This is the assignment for the Level 11 version of the course. If you are on the Level 10 course (i.e. likely an undergraduate student), then you should use this version instead.
IAML_2020_CW2_INFR11182_Instructions.pdf: This is the pdf with the question-sheet for the assignment.Assignment_2.tex: This is the template you should modify to writeup your assignment.style.tex: This is the style file for the assignment template. Do not modify this file in any way.data: This is the directory (folder) which contains the data you need to complete the 3rd part of assignment (Question 3).templates: This is the directory (folder) which contains Python template files you should use.helpers: This is the directory (folder) which contains helper functions.
For this assignment you must use the same versions of the packages that are specified in the IAML Labs repository. Failing to do will result in you loosing points.
This repository provides a latex template (Assignment_2.tex) for generating the final PDF that you will submit.
You must not edit the style or formating of this document.
The only thing you need to do is enter your student number (see PDF for instructions) and put your answers in the correct answer boxes.
You have a few options to create the final PDF:
- From a DICE machine you can run
pdflatex Assignment_2.textwice from the command line to compile the PDF. - You can do the same from your own computer, provided you have latex and all the necessary packages installed. Unfortunately, we do not support troubleshooting this step for you.
- You can also use a free browser based latex editor such as Overleaf. If you use such as tool, make sure to keep your document private and do not share the link to it.
Instructions will be provided on the IAML Learn page telling you where to upload your final PDF and code.
Abbreviation: [I]: Instruction sheet (PDF file), [T]: Assignment_2.tex (Latex file)
- 05/Nov/2020 Ver. 1.0.2 [I,T]
- Q1.3: Modified the wording to "report the variances of projected data for the first five principal components in a table"
- Q1.4: Modifed the wording to "Plot a graph of the cumulative explained variance ratio as a function of the number of principal components, K, where 1 ≤ K ≤ 784."
- 03/Nov/2020 Ver. 1.0.1 [I,T]
- Fixed a typo in Q1.8: "Plot all the test samples (Xtrn_nm)" --> "Plot all the training samples (Xtrn_nm)"
- 02/Nov/2020 Ver. 1.0.0 [I,T]
- Initial version