2021-03-21 18:41:48 +01:00
|
|
|
## Project for Inżynieria Uczenia Maszynowego class.
|
|
|
|
|
|
|
|
|
|
The scope of this project is to propose a classifier based on Smart Grid Stability dataset:
|
|
|
|
|
https://www.kaggle.com/pcbreviglieri/smart-grid-stability
|
|
|
|
|
while using proper ML tools in a correct way.
|
|
|
|
|
|
|
|
|
|
### Zadanie 1
|
|
|
|
|
script.sh downloads and unzips the dataset and executes python_script.sh,
|
|
|
|
|
which then normalizes the data, divides the dataset into train, test and validation subsets
|
|
|
|
|
and prints a short summary of the dataset as well as its subsets.
|
|
|
|
|
|
2021-03-28 21:07:50 +02:00
|
|
|
### Zadanie 2
|
|
|
|
|
add Jenkinsfiles and mock data preprocessing
|
|
|
|
|
|
2021-04-24 13:31:02 +02:00
|
|
|
### Zadanie 5
|
|
|
|
|
added lab4 file with new python script and updated Dockerfile.
|
|
|
|
|
The container downloads the dataset and installs software needed,
|
|
|
|
|
then trains and evaluates model on the dataset.
|
|
|
|
|
Loss and accuracy are saved to test_eval.txt file.
|
|
|
|
|
|
|
|
|
|
|
2021-03-21 18:41:48 +01:00
|
|
|
ium01.ipynb is a notebook used to develop previously mentioned scripts.
|
2021-04-24 13:31:02 +02:00
|
|
|
|
