© 2024 Tim Menzies, [email protected]
BSD-2 license. Share and enjoy.
For over two decades, I have been mentoring people about SE and AI. When you do that, after a while, you realize:
- When it is all said and done, you only need a dozen or so cool tricks;
- Other people really only need a few dozen or so bits of AI theory;
- Everyone could have more fun, and get more done, if we avoided the same dozen or so traps.
So I decided to write down that theory and those tricks and traps (see below). I took some XAI code (explainable AI) I'd written for semi-supervised multiple-objective optimization. Then I wrote notes on any part of the code where I had spent time helping helping people with those tricks, theory and traps.
Here is how the notes are labelled. For way-out ideas, read the 500+ ones. For good-old-fashioned command-line warrior stuff, see 100-200
- Odd number items are about SE;
- So even numbers are about AI;
| Anit-patterns (things not to do) |
SE system | SE coding | AI coding | AI theory (standard) |
New AI ideas |
|---|---|---|---|---|---|
| 00 - 99 | 100 - 199 | 200-299 | 300-399 | 400 - 499 | 500-599 |
One more thing. The SE and AI literature is full of bold experiments that try a range of new ideas. But some new ideas are better than others. With all little time, and lots of implementation experience, we can focus of which ideas offer the "most bang per buck".
Share and enjoy.
First get some test data:
git clone http://github.com/timm/data
Just grab the code:
git clone http://github.com/timm/ezr
cd ezr/src
python3 -B ezr.py -t path2data/misc/auto93.csv -e all
Or install from local code (if you edit the code, those changes are instantly accessible):
git clone http://github.com/timm/ezr
cd ezr
pip [-e] install ./setup.py
ezr -t path2data/misc/auto93.csv -e all # test the isntall
Install from the web. Best if you want to just want to import the code, the write you own extensions
pip install ezr
ezr -t path2data/misc/auto93.csv -e all # test the install
This code has lots of
eg.xxx() functions. Each of these can be called on the command line
using, say:
python3 -B ezr.py -e klass # calls the eg.klass() function
