Package | Description |
---|---|
org.openimaj.experiment.dataset.split |
Interfaces describing objects which can provide
different splits of a dataset.
|
org.openimaj.experiment.validation.cross |
Modifier and Type | Method and Description |
---|---|
static <KEY,INSTANCE> |
GroupedRandomSplitter.createCrossValidationData(GroupedDataset<KEY,? extends ListDataset<INSTANCE>,INSTANCE> dataset,
int numTraining,
int numValidation,
int numIterations)
Create a
CrossValidationIterable from the dataset. |
Modifier and Type | Method and Description |
---|---|
CrossValidationIterable<DATASET> |
CrossValidator.createIterable(DATASET data)
Create the iterable from the dataset.
|
CrossValidationIterable<GroupedDataset<KEY,ListDataset<INSTANCE>,INSTANCE>> |
GroupedLeaveOneOut.createIterable(GroupedDataset<KEY,ListDataset<INSTANCE>,INSTANCE> data) |
CrossValidationIterable<GroupedDataset<KEY,ListDataset<INSTANCE>,INSTANCE>> |
StratifiedGroupedKFold.createIterable(GroupedDataset<KEY,ListDataset<INSTANCE>,INSTANCE> data) |
CrossValidationIterable<GroupedDataset<KEY,ListDataset<INSTANCE>,INSTANCE>> |
GroupedKFold.createIterable(GroupedDataset<KEY,ListDataset<INSTANCE>,INSTANCE> data) |
CrossValidationIterable<ListDataset<INSTANCE>> |
KFold.createIterable(ListDataset<INSTANCE> data) |
CrossValidationIterable<ListDataset<INSTANCE>> |
LeaveOneOut.createIterable(ListDataset<INSTANCE> data) |