ml-tartu-electricity-prediciton

Commit guidelines

Create a virtual environment using python -m venv env
Install dependencies pip install -r requirements.txt
- If you want to train using GPU
  1. While using cuda 11.3 write pip install -r requirements-cuda113.txt instead
  2. Make sure your torch installations matches cuda installed on your server
  3. Do not use cuda version 10.2 (error in multiplication) (minimal example to test)
Enlist virtual environment as usable jupyter kernel python -m ipykernel --user --name <name-of-kernel>
Run JupyterServer and your Jupyter IDE
Make sure the notebook uses your <name-of-kernel> kernel for execution

LSTM code is in lstm branch

Name		Name	Last commit message	Last commit date
Latest commit History 59 Commits
custom_fix		custom_fix
darts_logs		darts_logs
data		data
model/transformer		model/transformer
predictions		predictions
.gitignore		.gitignore
ML_Project.ipynb		ML_Project.ipynb
ML_Project_SVM_test.ipynb		ML_Project_SVM_test.ipynb
README.md		README.md
Test_GPU.ipynb		Test_GPU.ipynb
XBG_Results.csv		XBG_Results.csv
XGB_Class		XGB_Class
flag.md		flag.md
flag_3.md		flag_3.md
requirements.txt		requirements.txt
transformer-study-test01.db		transformer-study-test01.db
transformer-study.db		transformer-study.db