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fully working cli and GUI

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This commit is contained in:
Tomasz Dłuski
2020-08-24 00:02:55 +02:00
parent b8170952fa
commit b973312e5b
2 changed files with 4 additions and 4 deletions
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6
README.md
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@@ -47,18 +47,18 @@ source ~/.bashrc
7. Test the pipeline with below command with conda. If you dont have conda installed run with `--no-conda`
```shell
MLFLOW_S3_ENDPOINT_URL=http://localhost:9000/mlflow MLFLOW_TRACKING_URI=http://localhost:5000 mlflow run git@github.com:databricks/mlflow-example.git -P alpha=0.5
MLFLOW_S3_ENDPOINT_URL=http://localhost:9000 MLFLOW_TRACKING_URI=http://localhost:5000 mlflow run git@github.com:databricks/mlflow-example.git -P alpha=0.5
```
Optionally you can run
```shell
MLFLOW_S3_ENDPOINT_URL=http://localhost:9000/mlflow MLFLOW_TRACKING_URI=http://localhost:5000 python ./quickstart/mlflow_tracking.py
MLFLOW_S3_ENDPOINT_URL=http://localhost:9000 MLFLOW_TRACKING_URI=http://localhost:5000 python ./quickstart/mlflow_tracking.py
```
8. To make the setting permament move the MLFLOW_S3_ENDPOINT_URL and MLFLOW_TRACKING_URI into your .bashrc
```bash
export MLFLOW_S3_ENDPOINT_URL=http://localhost:9000/mlflow
export MLFLOW_S3_ENDPOINT_URL=http://localhost:9000
export MLFLOW_TRACKING_URI=http://localhost:5000
```

2
docker-compose.yml
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@@ -41,7 +41,7 @@ services:
- AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}
- AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}
- AWS_DEFAULT_REGION=${AWS_REGION}
- MLFLOW_S3_ENDPOINT_URL=http://localhost:9000
- MLFLOW_S3_ENDPOINT_URL=http://s3:9000
networks:
- A
entrypoint: mlflow server --backend-store-uri mysql+pymysql://${MYSQL_USER}:${MYSQL_PASSWORD}@db:3306/${MYSQL_DATABASE} --default-artifact-root s3://${AWS_BUCKET_NAME}/ -h 0.0.0.0