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feat(bash): adds bash script generators

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Tomasz Dłuski
2020-08-24 16:38:20 +02:00
parent f523307f56
commit 8a2da7aba9
3 changed files with 28 additions and 10 deletions
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README.md
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@@ -65,18 +65,12 @@ s3Client.make_bucket('mlflow')
5. Configure your client-side
For running mlflow files you AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables present on the client-side.
For running mlflow files you need various environment variables set on the client side. To generate them user the convienience script `./bashrc_install.sh`, which installs it on your system or `./bashrc_generate.sh`, which just displays the config to copy & paste.
Also, you will need to specify the address of your S3 server (minio) and mlflow tracking server. For that, run following script
> $ ./bashrc_install.sh
> [ OK ] Successfully installed environment variables into your .bashrc!
```shell
export AWS_ACCESS_KEY_ID=AKIAIOSFODNN7EXAMPLE
export AWS_SECRET_ACCESS_KEY=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY
export MLFLOW_S3_ENDPOINT_URL=http://localhost:9000
export MLFLOW_TRACKING_URI=http://localhost:5000
```
or paste it into your .bashrc file and then run `source ~/.bashrc`
The script installs this variables: AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, MLFLOW_S3_ENDPOINT_URL, MLFLOW_TRACKING_URI. All of them are needed to use mlflow from the client-side.
6. Test the pipeline with below command with conda. If you dont have conda installed run with `--no-conda`