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Demo project to test out DVC and DAGsHub
Data Version Control (DVC) is a version control system built around the machine learning workflow. It allows you to build and run pipelines, represented as a Directed Acyclic (dependency) Graphs, with data and code, tracking large outputs using Git-controlled metafiles. DAGsHub is a fully-featured Git and DVC remote, i.e. DAGsHub is to DVC as GitHub is to Git.
This repository implements a binary classifier on questions from CrossValidated Stack Exchange to determine if they are about machine learning or not. The machine learning portion of this repository is unremarkable and uses standard techniques. The python file main.py
contains code for all steps of the ML pipeline.
Usage: python3 main.py [split|featurize|tfidf|train|test]
outputs/
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Demo repository to test out DVC and DAGsHub
https://github.com/arjvik/dvc-demoAre you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?