[amp_mcq option1=”run” option2=”start” option3=”init” option4=”stop” correct=”option3″]
The correct answer is C. init.
The init parameter can assume different values which determine how the data matrix is initially processed. The possible values are:
- None: The data matrix is not processed in any way.
- Random: The data matrix is randomly shuffled.
- Sorted: The data matrix is sorted by row and column.
- Normalized: The data matrix is normalized to have unit norm.
- Centered: The data matrix is centered by subtracting the mean of each row and column.
The init parameter is typically used to initialize the data matrix before training a model. For example, if you are using a neural network, you might want to initialize the weights of the network randomly.