## 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.

### Zadanie 2
add Jenkinsfiles and mock data preprocessing

### Zadanie 4
added lab4 directory 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.

### Zadanie 5
added lab5 directory with scripts

### Zadanie 6
added create, train, eval directories in lab5

### Zadanie 7
updated contents of lab5/train directory

### Zadanie 8
didn't manage to do the task

### Zadanie 9
added lab9 directory with .yaml file containing the description 
of the python environment used for the development of previous tasks

### Zadanie 10 
added data directory as well as dvc related files for subtasks 1-4, did not attempt subtask 5

ium01.ipynb is a notebook used to develop previously mentioned scripts.