A data scientist has developed a model model and computed the RMSE of the model on the test set. They have assigned this value to the variable rmse. They now want to manually store the RMSE value with the MLflow run.They write the following incomplete code block:Which of the following lines of code can be used to fill in the blank so the code block can successfully complete the task?
Which of the following MLflow operations can be used to automatically calculate and log a Shapley feature importance plot?
A data scientist has developed a scikit-learn random forest model model, but they have not yet logged model with MLflow. They want to obtain the input schema and the output schema of the model so they can document what type of data is expected as input.Which of the following MLflow operations can be used to perform this task?
A machine learning engineer and data scientist are working together to convert a batch deployment to an always-on streaming deployment. The machine learning engineer has expressed that rigorous data tests must be put in place as a part of their conversion to account for potential changes in data formats.Which of the following describes why these types of data type tests and checks are particularly important for streaming deployments?
Which of the following deployment paradigms can centrally compute predictions for a single record with exceedingly fast results?
A data scientist has written a function to track the runs of their random forest model. The data scientist is changing the number of trees in the forest across each run.Which of the following MLflow operations is designed to log single values like the number of trees in a random forest?
