Package | Description |
---|---|
org.apache.ignite.ml.dataset.impl.bootstrapping |
Base package for bootstrapped implementation of machine learning dataset.
|
org.apache.ignite.ml.structures |
Contains some internal utility structures.
|
Modifier and Type | Class and Description |
---|---|
class |
BootstrappedVector
Represents vector with repetitions counters for subsamples in bootstrapped dataset.
|
Modifier and Type | Class and Description |
---|---|
class |
Dataset<Row extends DatasetRow>
Class for set of vectors.
|
Modifier and Type | Class and Description |
---|---|
class |
LabeledVector<L>
Class for vector with label.
|
Modifier and Type | Field and Description |
---|---|
protected Row[] |
Dataset.data
Data to keep.
|
Modifier and Type | Method and Description |
---|---|
DatasetRow[] |
Dataset.data() |
Modifier and Type | Method and Description |
---|---|
void |
Dataset.setData(Row[] data) |
Constructor and Description |
---|
Dataset(Row[] data)
Creates new Dataset by given data.
|
Dataset(Row[] data,
FeatureMetadata[] meta)
Creates new Dataset by given data.
|
Dataset(Row[] data,
int colSize)
Creates new Dataset by given data.
|
Dataset(Row[] data,
String[] featureNames,
int colSize)
Creates new Dataset by given data.
|
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024