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updated README.md

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Tomasz Dłuski
2020-08-24 00:19:41 +02:00
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@@ -10,9 +10,8 @@ AWS S3 based [on this article ](https://dev.to/goodidea/how-to-fake-aws-locally-
1. Configure `.env` file for your choice
2. Create mlflow bucket. You can do it either using AWS CLI or Python Api
<details><summary>**AWS CLI**</summary>
<summary>AWS CLI
<details>
1. [Install AWS cli](https://aws.amazon.com/cli/) **Yes, i know that you dont have an Amazon Web Services Subscription - dont worry! It wont be needed!**
2. Configure AWS CLI - enter the same credentials from the `.env` file
@@ -28,11 +27,10 @@ aws configure
```shell
aws --endpoint-url=http://localhost:9000 s3 mb s3://mlflow
```
</details>
</summary>
<summary>Python API
<details>
</details>
<details><summary>**Python API**</summary>
1. Install Minio
```shell
@@ -53,7 +51,6 @@ s3Client.make_bucket('mlflow')
```
</details>
</summary>
3. Open up http://localhost:5000/#/ for MlFlow, and http://localhost:9000/minio/mlflow/ for S3 bucket (you artifacts) with credentials from `.env` file