Hello, I just wanted to provide the following to update the README.md file. Since I was unauthorized to make a merge request, thought I would post it here. Cheers!

(Also included the README.md file as a txt, just in case)

Example MLflow project

Overview

This is an example MLflow project for the MLflow Quickstart documentation.

Using both the UCI Wine Quality dataset (by P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis.) and Elastic Net to predict quality, we create an MLflow project.

Moreover, The example uses MLproject to set up a Conda environment, define parameter types and defaults, entry point for training, etc.

Instructions

If you reached this repository from going through the MLflow Quickstart documentation, please follow these instructions (else, feel free to independently go through the material yourself):

1 ) Per the Running MLflow Projects section, run the following:

mlflow run tutorial -P alpha=0.5

mlflow run git@github.com:mlflow/mlflow-example.git -P alpha=5

Note: If you are receiving git permission issues, please git clone this repository.

Thereafter, run command:

mlflow run mlflow-example -P alpha=0.5

2 ) Per the Saving and Serving Models section, run:

python sklearn_logistic_regression/train.py

Therafter, to serve the scikit-learn model through a REST server, run:

mlflow sklearn serve -r <RUN_ID> model

Now, run

curl -d '[{"x": 1}, {"x": -1}]' -H 'Content-Type: application/json' -X POST localhost:5000/invocations

Congrats, you are done! Please refer back to the MLflow Quickstart documentation or feel free to play around more with MLflow!

Cheers! README..txt

mlflow / mlflow-example

Unable to make merge request--Update README #3

Example MLflow project

Overview

Instructions