docker build -t ml-ops-blog-post-mlflow-classifier -f Dockerfile .
mlflow run . -P alpha=0.5.
import mlflow
logged_model = 'runs:/dbd684db1ee6455d8b0c42bc3af6cd53/model'
# Load model as a PyFuncModel.
loaded_model = mlflow.pyfunc.load_model(logged_model)
# Predict on a Pandas DataFrame.
import pandas as pd
loaded_model.predict(pd.DataFrame(data))