Environment

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The repository has an environmet.yml file to install all the dependencies using conda:

conda env create -f environment.yml

the conda environment is called mlflow_demo.

There is also the file requirements.txt to install the libraries with another environment module.

How to use

The notebook mlflow_demo has the code to run some examples to generate the data, train the model and log it. It is necessary to run>

1. Run Jupyter lab to acces to the notebook. The default listening at http://127.0.0.1:8888

> jupyter lab

2. Run the mlflow ui to visualize the experiments. The default listening at http://127.0.0.1:5000

> mlflow ui