Includes the information about hyperparameters used to train the model. This
information consists of the value, the absolute and relative importance of
the hyperparameter as well as an indicator of whether it was specified by the
user or tuned during hyperparameter optimization.
Includes the total feature importance for the training data set. The baseline
and total feature importance values are returned in the metadata field in the
response body.
Returns the enum constant of this class with the specified name.
The string must match exactly an identifier used to declare an
enum constant in this class. (Extraneous whitespace characters are
not permitted.)
Parameters:
name - the name of the enum constant to be returned.