conda create -f conda.yaml
conda activate mlflow-env

or

pip install mlflow
pip install pyenv

Alpha and L1_ratio values can be any number between 0 and 1:

mlflow run . -P alpha=0.1 -P l1_ratio=0.9

mlflow ui

Now the UI is availbale at 127.0.0.1:5000

Get the model from the UI under artifacts in the experiments module

example: file:///Users/roaldbronstad/PycharmProjects/MlFlowTest/mlruns/0/3599a7c4d00647d3a3021af80a29e5c8/artifacts/model

mlflow models serve -m **path_to_your_model** -p 1234

curl http://127.0.0.1:1234/invocations -H "Content-Type:application/json" -d '{ "dataframe_split": { "columns":["fixed acidity", "volatile acidity", "citric acid", "residual sugar", "chlorides", "free sulfur dioxide", "total sulfur dioxide", "density", "pH" , "sulphates", "alcohol"], "data":[[8.5, 0.6, 0, 1.5, 0.065, 17, 75, 0.86, 3.6, 0.6, 14]] } }'