volf52/tr_news_cat: https://www.kaggle.com/savasy/ttc4900

https://www.kaggle.com/savasy/ttc4900

24 Commits

7 Branches

3 Releases

...

Remote

Git remote:

DVC remote:

Using DAGsHub DVC remote:

dvc remote add origin --local https://dagshub.com/volf52/tr_news_cat.dvc
dvc remote modify origin --local auth basic
dvc remote modify origin --local user 
dvc remote modify origin --local ask_password true

Additional help

MLflow Tracking remote:

Using Mlflow tracking:

MLFLOW_TRACKING_URI=https://dagshub.com/volf52/tr_news_cat.mlflow \
MLFLOW_TRACKING_USERNAME= \
MLFLOW_TRACKING_PASSWORD=<your password> \
python <script.py>

Additional help

Arslan fe3e40ac67 Merge from Dev: Update Docker config, use gunicorn and remove Pytorch		1 month ago
.dvc	3835ed1044 Add base data and track it with DVC. Add associated python requirements	1 month ago
artifacts	8983e96d17 Feature: Logistic Classifier	1 month ago
data	8983e96d17 Feature: Logistic Classifier	1 month ago
metrics	a8aba98742 Add necessary folders - data,metrics,artifacts	1 month ago
news_cat	fe3e40ac67 Merge from Dev: Update Docker config, use gunicorn and remove Pytorch	1 month ago
scripts	8983e96d17 Feature: Logistic Classifier	1 month ago
.dockerignore	fe3e40ac67 Merge from Dev: Update Docker config, use gunicorn and remove Pytorch	1 month ago
.dvcignore	3835ed1044 Add base data and track it with DVC. Add associated python requirements	1 month ago
.gitignore	92fdede2b3 Add basic app config (shared)	1 month ago
Dockerfile	fe3e40ac67 Merge from Dev: Update Docker config, use gunicorn and remove Pytorch	1 month ago
LICENSE	6ee8331777 Initial commit	1 month ago
README.md	4bd0544299 Add Dockerfile, and related build instructions in README	1 month ago
app.py	f352145576 Add api base/skeleton	1 month ago
docker-build.sh	4bd0544299 Add Dockerfile, and related build instructions in README	1 month ago
params.yaml	8983e96d17 Feature: Logistic Classifier	1 month ago
poetry.lock	fe3e40ac67 Merge from Dev: Update Docker config, use gunicorn and remove Pytorch	1 month ago
pyproject.toml	fe3e40ac67 Merge from Dev: Update Docker config, use gunicorn and remove Pytorch	1 month ago
requirements.txt	fe3e40ac67 Merge from Dev: Update Docker config, use gunicorn and remove Pytorch	1 month ago

		
			Data Pipeline

			Legend
		
DVC Managed File
	
Git Managed File
	
Metric
	
Stage File
	
External File

Legend
DVC Managed File
Git Managed File
Metric
Stage File
External File

Turkish Text Categorization

This is meant to serve as an example of how to structure and work on your ML projects, and deploy the resultant models.

The dataset I have chosen can be found on Kaggle.

The python packages can be installed via the requirements.txt file (in a venv), or using Poetry (preferred way).
To get the models and data files, you'll also need DVC. Just run dvc pull in this repo to get the data/artifacts.

Docker

The docker images can be built easily using the docker-build.sh file (you can change the tag name if you want).
Then run the image simply using docker run -d -p (your host machine port):8080 newscat (or the other name)
The port on docker can be configured using the env variable port.

Examples:

docker run -d -p 8085:8080 newscat

docker run -it -p 8085:8081 --env PORT=8081 newscat