A repo for the tutorial explaining the benefits of DVC and DAGsHub, using digit classification based on the MNIST database as an example problem

Yannick-S 4a3d10ae16 Added dependency "README.md" to stage "train_data.csv.dvc" 1 month ago
.dvc fc57951fc5 DVC and DAGsHub pip packages 1 month ago
code 6051d582f9 Try momentum 0.25 1 month ago
data 5a46bcaea4 Trained basic multiclass SVM model 1 year ago
metrics 6051d582f9 Try momentum 0.25 1 month ago
.gitignore 006709443a Set up new params.yml and metrics.csv 1 month ago
Dvcfile 6b9ff14e42 Try LR=0.1 1 month ago
LICENSE e298f700fa Added Apache 2.0 license 1 year ago
README.md ed9287e7af Added a readme 1 year ago
featurization.dvc 5a46bcaea4 Trained basic multiclass SVM model 1 year ago
params.yml 006709443a Set up new params.yml and metrics.csv 1 month ago
requirements.txt fc57951fc5 DVC and DAGsHub pip packages 1 month ago
test_data.csv.dvc 37524bef22 Imported training and test datasets 1 year ago
train_data.csv.dvc 4a3d10ae16 Added dependency "README.md" to stage "train_data.csv.dvc" 1 month ago
training.dvc 6051d582f9 Try momentum 0.25 1 month ago

Data Pipeline

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DVC Managed File
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Metric
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External File

README.md

DAGsHub MNIST Tutorial

This repo serves as an example of how to use DVC and DAGsHub.

Please follow the tutorial instructions for more information.