MLOps utils with MLFlow
python -m pip install mlflowops
Clone the repository
git clone https://github.com/Broomva/mlflowops.git
Install the package
cd mlflowops && make install
After cloning, create a virtual environment
conda create -n mlflowops python=3.10
conda activate mlflowops
Install the requirements
pip install -r requirements.txt
Run the python installation
python setup.py install
The deployment requires a .env file created under local folder:
touch .env
It should have a schema like this:
databricks_experiment_name=''
databricks_experiment_id=''
databricks_host=''
databricks_token=''
databricks_username=''
databricks_password=''
databricks_cluster_id=''
import mlflowops