Machine Learning for TUO
Project description
Requirements
- Python 3.X with pip/Anaconda on Windows
- Java 1.8 or higher
Install
$ pip install tuo_ml
If you do not have administrator rights append --user
/--break-system-packages
to above command.
Alternatively, if some errors occur in later steps to install from source.
Run it
tuo/data $ tuo_train --help
tuo/data $ tuo_train
The output should look similar to:
Loading database from database.yml...done
Parsing database...
100%|█████████████████████████████████████| 1705/1705 [00:20<00:00, 84.00it/s]
100%|███████████████████████████████████████████| 1/1 [00:20<00:00, 20.30s/it]
Training...
Win......Average Error: +-1.752% (+-0.027%)
Stall....Average Error: +-0.750% (+-0.017%)
Loss.....Average Error: +-1.225% (+-0.022%)
Points...Average Error: +-1.760 (+-0.031)
The uncertainty of the training is indicated.
You can copy the *.pmml
files into your data/
folder to use them in tuo now.
Run it from source
If you want to define your own ML model follow these steps.
Download
Download the source zip from github and unzip it. Or better clone the repo
$ git clone https://github.com/APN-Pucky/tyrant_optimize.git tuo
$ cd tuo/ml
Install
tuo/ml $ poetry install
Modify train.py to your likings.
Run it
tuo/data $ poetry run tuo_train
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
tuo_ml-6.0.0.27.tar.gz
(3.7 kB
view hashes)
Built Distribution
Close
Hashes for tuo_ml-6.0.0.27-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 835d26ae9e526e220ffb2966298c71156e1001d27db4e79181e51381383b70cd |
|
MD5 | d750a87773402dfa0c43f96c16bd7171 |
|
BLAKE2b-256 | 6db01a90d73f2dc117a32fb9059f047918aefbdd407f4184d34505861bc5c5db |