Taking the MNIST model and adding a productionization stage using FLASK

deanp07 ad15874fae changed .gitignore to include virtualenv 4 months ago
.dvc 92c319cd1a Initialized project 10 months ago
code 310e107039 Experiment with CNN model 10 months ago
data 5a46bcaea4 Trained basic multiclass SVM model 10 months ago
metrics 310e107039 Experiment with CNN model 10 months ago
.gitignore ad15874fae changed .gitignore to include virtualenv 4 months ago
Dvcfile 310e107039 Experiment with CNN model 10 months ago
LICENSE e298f700fa Added Apache 2.0 license 10 months ago
README.md ed9287e7af Added a readme 10 months ago
featurization.dvc 5a46bcaea4 Trained basic multiclass SVM model 10 months ago
requirements.txt 310e107039 Experiment with CNN model 10 months ago
test_data.csv.dvc 37524bef22 Imported training and test datasets 10 months ago
train_data.csv.dvc 37524bef22 Imported training and test datasets 10 months ago
training.dvc 310e107039 Experiment with CNN model 10 months ago

Data Pipeline

Legend
DVC Managed File
Git Managed File
Metric
Stage File
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.