https://github.com/alexandreday/machine_learning_review
Contains python codes/notebooks for a machine learning review
https://github.com/alexandreday/machine_learning_review
machine-learning statistical-physics
Last synced: 10 months ago
JSON representation
Contains python codes/notebooks for a machine learning review
- Host: GitHub
- URL: https://github.com/alexandreday/machine_learning_review
- Owner: alexandreday
- Created: 2017-01-26T03:43:01.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2018-02-06T05:30:43.000Z (over 8 years ago)
- Last Synced: 2025-05-07T03:11:18.463Z (about 1 year ago)
- Topics: machine-learning, statistical-physics
- Language: Jupyter Notebook
- Homepage:
- Size: 15.4 MB
- Stars: 6
- Watchers: 7
- Forks: 3
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# machine_learning_review
This is a repository for developping the python codes and examples for a review paper on an introduction to machine learning for physicists.
# Installing style sheet
Clone or download the repository. Then from you anaconda environment (should be python3.x) use:
```
pip install .
```
You can now import the style sheet in any of your notebooks with the following:
```
import matplotlib as mpl
from ml_style import ml_style_1 as sty
mpl.rcParams.update(sty.style)
```
This will allow you to plot using the styles specified in ```ml_style/ml_style_1.py```.
# Updating style sheet
As we might change the styles as we go along, running the following command will update your style sheets:
```
pip install . --upgrade
```
# What it looks like
