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Exercise

Searching runs

In this exercise, you will query experiment runs from multiple Unicorn experiments and return only runs that meet a certain desired criteria. This is helpful during the ML lifecycle if you need to compare runs data.

First you will create a filter string to capture runs for R-squared metric greater than .70. Using the function from the mlflow module that searches runs, you will then order them in descending order and search only the experiments "Unicorn Sklearn Experiments" and "Unicorn Other Experiments".

The experiments have already been created in MLflow along with the R-squared metrics. The MLflow module will be imported.

Instructions

100 XP
  • For variable r_squared_filter, create a filter string to capture "r2_score" metrics "> .70".
  • Search runs for experiments "Unicorn Sklearn Experiments" and "Unicorn Other Experiments".
  • Order the results of R-squared in descending order.