Databricks Machine Learning Associate Question 201
Select 3You are tasked with optimizing the hyperparameters of a machine learning model in Databricks. Since the search space is large and training the model is computationally expensive, you decide to use random search for hyperparameter tuning. Which of the following steps are required to correctly implement random search in Databricks?
- A
Define a parameter grid specifying ranges or distributions for each hyperparameter.
- B
Use a Databricks-specific library to generate all possible combinations of hyperparameters in the search space.
- C
Set up a random sampling strategy to select parameter combinations from the defined search space.
- D
Train multiple models using the sampled hyperparameter combinations and evaluate their performance.
- E
Ensure random search iterates through every possible combination of hyperparameters to find the optimal values.
Show answer and explanation
Correct answers: A, C, D
Explanation
Random search is a hyperparameter optimization technique that involves randomly sampling combinations of hyperparameters from a defined search space. It is computationally efficient compared to grid search, especially when the search space is large. In Databricks, you need to define the search space, set up a random sampling strategy, and train models with the sampled hyperparameter combinations to evaluate their performance. Unlike grid search, random search does not ensure that every combination of hyperparameters is tested.
- A. Correct.
Correct. Random search requires defining a parameter grid or specifying distributions for hyperparameters to sample from.
- B. Incorrect.
Incorrect. Random search does not generate all possible combinations of hyperparameters; it samples randomly from the defined search space.
- C. Correct.
Correct. Random search involves sampling parameter combinations randomly rather than exhaustively searching the entire grid.
- D. Correct.
Correct. To evaluate the performance of the hyperparameters, you need to train models with the sampled combinations and assess their results.
- E. Incorrect.
Incorrect. Random search does not iterate through every possible combination, it randomly samples a subset of the parameter space.