https://github.com/lukasdrews97/hiclass_uncertainty_experiments
https://github.com/lukasdrews97/hiclass_uncertainty_experiments
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/lukasdrews97/hiclass_uncertainty_experiments
- Owner: LukasDrews97
- Created: 2024-04-11T11:57:53.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-07-06T12:51:44.000Z (11 months ago)
- Last Synced: 2024-12-26T16:29:50.757Z (5 months ago)
- Language: Python
- Size: 199 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Experiments: Uncertainty Quantification for Local Hierarchical Classification through Model Calibration
## Requirements
- Linux
- Python 3.11
## Installation using pipenv
### Install pipenv
```bash
pip install --user pipenv
```
### Create environment from Pipfile
```bash
pipenv install
```
### Activate environment
```bash
pipenv shell
```
## Installation using conda
### Create environment
```bash
conda env create -f conda_env.yml
```
### Activate environment
```bash
conda activate hiclass_experiments
```
## Run Experiments
### Open subdirectory
```bash
cd Consumer_Complaint_Database
```
### Download training data from external sources
```bash
dvc update -R .
```
### Start pipeline
```bash
dvc repro -v
```