Which of the following operations in Feature Store Client fs can be used to return a Spark DataFrame of a data set associated with a Feature Store table?
A machine learning engineer is in the process of implementing a concept drift monitoring solution. They are planning to use the following steps:1. Deploy a model to production and compute predicted values2. Obtain the observed (actual) label values3. _____4. Run a statistical test to determine if there are changes over timeWhich of the following should be completed as Step #3?
Which of the following is a reason for using Jensen-Shannon (JS) distance over a Kolmogorov-Smirnov (KS) test for numeric feature drift detection?
A data scientist is utilizing MLflow to track their machine learning experiments. After completing a series of runs for the experiment with experiment ID exp_id, the data scientist wants to programmatically work with the experiment run data in a Spark DataFrame. They have an active MLflow Client client and an active Spark session spark.Which of the following lines of code can be used to obtain run-level results for exp_id in a Spark DataFrame?
A data scientist has developed and logged a scikit-learn random forest model model, and then they ended their Spark session and terminated their cluster. After starting a new cluster, they want to review the feature_importances_ of the original model object.Which of the following lines of code can be used to restore the model object so that feature_importances_ is available?
Which of the following is a probable response to identifying drift in a machine learning application?
