In this Repo a simple Sklearn Model will be trained and pushed to MLFlow
This Repo is based on poetry
python3 -m venv .venv # switch manually to virtual environment and then $(.venv) pip install poetry $(.venv) poetry install # will install all dependencies from the pyproject.toml file
The general Traning pipeline script is configured by the
The yaml file needs to be modified, since the path to the data is hardcoded there.
The data gets prefiltered by the
filter.py configured by
filter_config.yaml in the folder filter and gets stored in the
data folder from where it gets loaded.
I have MLFLow in a Docker Container running with a Azurite and Postgres instance. Therefor I need a connection string to connect to MLFlow containers. This is in the
.venv file as well as the connection to MLFlow.
I will link later the Repo for the MLFlow Docker Container.