From 4d19a4b88585eaebe290ac7848409e95fe263492 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tomasz=20D=C5=82uski?= Date: Mon, 24 Aug 2020 16:17:58 +0200 Subject: [PATCH] Update README.md --- README.md | 6 ------ 1 file changed, 6 deletions(-) diff --git a/README.md b/README.md index e6ccd9f..d2d716f 100644 --- a/README.md +++ b/README.md @@ -15,12 +15,6 @@ Creating mlflow_db ... done Creating tracker_mlflow ... done Creating aws-s3 ... done ``` -Your mlflow_db is slowly getting ready - it migh take up to 1 minute. To be sure, that all of the services are running fine, just run docker-compose up -d until you see all services `up-to-date` -> $ docker-compose up -d -> mlflow_db is up-to-date -> aws-s3 is up-to-date -> tracker_mlflow is up-to-date - 3. Create mlflow bucket. You can do it **either using AWS CLI or Python Api**. **You dont need an AWS subscription**
AWS CLI