$$

$[26]$ import mlflow

First create and experiment names "Sales Price" using the Inlflow.set$\_$experiment$()$ function.

Then log all the GridSearch CV results to the MLFlow server started above.

Each set of hyperparameters for angigorithm is it's own run.

Each run should have a tag for the algorithm name

The run parameters are the hyperparameters of the algorithm used for that cross validation.

The run metrics are the performance metrics listed above $($MSE$,$ MAE, MAPE$).$