as_mi_df                Coerce to MI data frame
as_mild_df              Coerce to MILD data frame
bag_instance_sampling   Sample 'mild_df' object by bags and instances
build_fm                Build a feature map on new data
build_instance_feature
                        Flatten 'mild_df' data to the instance level
classify_bags           Classify y from bags
cv_misvm                Fit MI-SVM model to the data using
                        cross-validation
formatting              Printing multiple instance data frames
generate_mild_df        Generate mild_df using multivariate t and
                        normal distributions.
kfm_exact               Create an exact kernel feature map
kfm_nystrom             Fit a Nyström kernel feature map approximation
kme                     Calculate the kernel mean embedding matrix
mi                      Create an 'mi' object
mi_df                   Build a multiple instance (MI) data frame
mild                    Create a mild object
mild_df                 Build a MILD data frame
mior                    Fit MIOR model to the data
mismm                   Fit MILD-SVM model to the data
misvm                   Fit MI-SVM model to the data
misvm_orova             Fit MI-SVM model to ordinal outcome data using
                        One-vs-All
omisvm                  Fit MI-SVM-OR model to ordinal outcome data
ordmvnorm               Sample ordinal MIL data using mvnorm
predict.cv_misvm        Predict method for 'cv_misvm' object
predict.mior            Predict method for 'mior' object
predict.mismm           Predict method for 'mismm' object
predict.misvm           Predict method for 'misvm' object
predict.misvm_orova     Predict method for 'misvm_orova' object
predict.omisvm          Predict method for 'omisvm' object
predict.smm             Predict method for 'smm' object
predict.svor_exc        Predict method for 'svor_exc' object
smm                     Fit SMM model to the data
summarize_samples       Summarize data across functions
svor_exc                Fit SVOR-EXC model to ordinal outcome data
