mlflow config

MartinKalema · Jun 10, 2024 · a75f892 · a75f892
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diff --git a/.env.example b/.env.example
@@ -1,3 +1,6 @@
 AWS_ACCESS_KEY_ID="Your AWS Access Bucket Secret Key"
 AWS_SECRET_ACCESS_KEY="..."
-REGION_NAME="..."
+REGION_NAME="..."
+MLFLOW_TRACKING_URI='...'
+MLFLOW_REPO_OWNER='...'
+MLFLOW_REPO_NAME='...'
diff --git a/README.md b/README.md
@@ -41,6 +41,14 @@ Create an AWS S3 Bucket and finally an environment file with the configurations
 AWS_ACCESS_KEY_ID='...'
 AWS_SECRET_ACCESS_KEY='...'
 REGION_NAME='...eg us-east-1"
+```
+
+Connect the project to dagshub and get the experiments configuration.
+
+```
+MLFLOW_TRACKING_URI='...'
+MLFLOW_REPO_OWNER='...'
+MLFLOW_REPO_NAME='...'
 
 ```
 

diff --git a/static/model_training_pipeline_large.png b/static/model_training_pipeline_large.png