example-dvc-mlflow-s3

In case of new S3 bucket [PreRequisite step]

1. Clone repository and create dataset folder in parent directory and add wine-quality.csv in the dataset folder
2. Set AWS S3 credentials in .dvc/config file or set using "dvc remote modify {key value}" command
3. dvc add dataset
4. dvc push to remote

Steps to pull data from existing remote dvc s3 cache:

1. Clone Repository
2. Set AWS S3 credentials in .dvc/config file or set using "dvc remote modify {key value}" command
3. dvc pull

.dvc/config file:

[core]

remote = s3remote

['remote "s3remote"']

url = S3://dvc-example

endpointurl = http://{AWS_S3_URL}:{PORT}/

access_key_id = admin

secret_access_key = admin

use_ssl = false