s470607/ium_470607
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity
Repository for work related to Inżyniera Uczenia Maszynowego class project
135 Commits 1 Branch 0 Tags 6.4 MiB
Jupyter Notebook 64.1%
Python 24.5%
Dockerfile 7.4%
Shell 4%
e819ccf084
Go to file
jakubknczny e819ccf084 mlflow save model
2021-05-21 16:26:48 +02:00
lab1 move dataset-stats.sh to right folder 2021-04-02 22:16:48 +02:00
lab2 add IUM-05 2021-04-24 13:31:02 +02:00
lab3 fix jenkinsfile-create-dataset 2021-04-11 11:04:32 +02:00
lab4 add IUM-05 2021-04-24 13:31:02 +02:00
lab5 mlflow save model 2021-05-21 16:26:48 +02:00
.gitignore add code for Zadanie 1 2021-03-21 18:41:48 +01:00
ium01.ipynb add IUM-05 2021-04-24 13:31:02 +02:00
README.md add mlflow 2021-05-16 23:01:34 +02:00

README.md

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

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